## Qualifications
* MUST BE EITHER C2C, GREEN CARD OR US CITIZEN
* AI expertise (both public and open source LLMs)
* Experience with RAG, vector databases
* Experience with hosting LLMs on server
* Python
## Benefits
* 20 hours a week
* Part Time: Flex Hours
* No Relocation available
* Compensation is between $35 to $40 per hour
* Pay: $35.00 - $40.00 per hour
* Pay: $35.00 - $40.00 per hour
## Responsibilities
* The work needs to be performed on site
* Part Time: Work days after hours and Saturdays are fine

## Full Description
AI Developers. PART TIME ONLY.

LOCAL CANDIDATES ONLY, ON SITE REQUIRED

MUST BE EITHER C2C, GREEN CARD OR US CITIZEN

Integrated Informatics is looking developers with knowledge of AI and LLM on a part time basis. We develop software systems for the healthcare industry. The work needs to be performed on site. What you bring to the table:

• AI expertise (both public and open source LLMs)

• Experience with RAG, vector databases

• Experience with hosting LLMs on server

• Python

• QA.

Part Time: Work days after hours and Saturdays are fine. 20 hours a week.

Part Time: Flex Hours.

No Relocation available. Compensation is between $35 to $40 per hour.

What you need to do: PLEASE EMAIL RESUMES

Job Types: Contract, Full-time

Pay: $35.00 - $40.00 per hour

Work Location: In person

Job Types: Full-time, Part-time, Contract

Pay: $35.00 - $40.00 per hour

Work Location: In person



Job highlights
Identified by Google from the original job post
Qualifications
• 3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas
• Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments
• Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification
• Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop)
• MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience
• PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience,
• Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems
• Familiarity with prompt optimization frameworks or automated prompt engineering
• Experience in natural language processing (NLP) or natural language understanding (NLU)
• Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems
• Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals
• 9 more items(s)
Responsibilities
• This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology
• You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience
• If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day
• In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control
• You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance
• 2 more items(s)
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Job description
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing nov...el, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day.

We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance.

3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas.

Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments.

Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification.

Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop).

MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience.

PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience,

Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems.

Familiarity with prompt optimization frameworks or automated prompt engineering.

Experience in natural language processing (NLP) or natural language understanding (NLU).

Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production.

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems.

Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals.
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Qualifications
• Conduct research on Gen-AI technologies that are relevant to NetApp
• Ability to network with engineers and product management in the immediate and associated organizations
• Have broad-based impact based on technology built during the internship
• Must be enrolled in an educational or professional program through summer 2026 or later
• 1 more items(s)
Benefits
• Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors
• We provide flexibility so you can balance professional ambition with your personal life
Responsibilities
• Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow
• This group oversees, maintains and guides current and future architectural roadmaps of products and platforms that form the core of our flagship business, namely ONTAP storage systems
• Build prototypes and proof of concept based on these technologies
• Contribute towards a research paper on this topic with the aim to publish in a peer-reviewed, top-tier conference
• Talk about the intern project in a company-wide forum towards the conclusion of the internship
• 2 more items(s)
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Job description
Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, ...and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.

Job Summary

PAL Group: PAL Stands for (Platform )Product Architecture Leadership group. This group oversees, maintains and guides current and future architectural roadmaps of products and platforms that form the core of our flagship business, namely ONTAP storage systems. We are eagerly working with universities and research programs to build and innovate the next generation of products at NetApp.

Job Requirements

• Conduct research on Gen-AI technologies that are relevant to NetApp.

• Build prototypes and proof of concept based on these technologies.

• Contribute towards a research paper on this topic with the aim to publish in a peer-reviewed, top-tier conference.

• Ability to network with engineers and product management in the immediate and associated organizations.

• Have broad-based impact based on technology built during the internship.

• Talk about the intern project in a company-wide forum towards the conclusion of the internship.

Education

Must be enrolled in an educational or professional program through summer 2026 or later.

Compensation:

Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.

Submitting an application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
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Job highlights
Identified by Google from the original job post
Qualifications
• You have a college degree with a quantitative background in analytics, finance, or economics or STEM similar
• You balance an eagerness to learn with the ability to execute and enjoy solving tough problems
• You have 1+ years of work experience in technology, data analysis or other technical and quantitative fields
• You’re a team player and excited about the opportunity to be an early employee at a fast-paced, fast-growing company
• This is an in person role based in Chicago, New York or San Francisco with the expectation to be in the office
• Bonus points if you have advanced excel skills and SQL, Python or other programming skills, or experience vibe coding/building automations
• 3 more items(s)
Benefits
• Benefits & Perks
• Premium Medical, Dental, and Vision Insurance plans
• 401k plan with company match
• Unlimited PTO
• Physical and Mental fitness subsidies for yoga, meditation, gym, etc
• 2 more items(s)
Responsibilities
• Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder
• Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across Loop’s user base
• This role requires a deep understanding of our systems and their users (internal and external), the ability to translate complex technical work to everyday users, and ruthless problem solving
• Accelerate Loop’s ability to deliver net new product surface for global brands by deeply understanding and learning how we drive customer outcomes
• Embed with customer, product, and operations teams at some of the largest companies in the world to deliver increased customer value
• Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and delight customers and users
• Demonstrate a deeply substantive execution skill set, knowledge of Loop’s product offering, and how it solves our customers pain points
• Build and maintain relationships with internal customer-facing stakeholders, ensuring that Loop is focused on delivering value for them
• 5 more items(s)
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Job description
About Loop

Loop is on a mission to unlock profits trapped in the supply chain and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder.

Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation sp...end visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Verizon, Dell, Tyson Foods, and Estee Lauder work with Loop.

Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.

About the Role

Loop is building an AI ops team that will own key automation and intelligence systems as Loop builds and scales them across its customer base. We are disrupting traditional operations with AI powered workflows that create 100X leverage for users, turning operators into analysts.

Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across Loop’s user base.

This role requires a deep understanding of our systems and their users (internal and external), the ability to translate complex technical work to everyday users, and ruthless problem solving.

Key Responsibilities

• Accelerate Loop’s ability to deliver net new product surface for global brands by deeply understanding and learning how we drive customer outcomes

• Embed with customer, product, and operations teams at some of the largest companies in the world to deliver increased customer value

• Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and delight customers and users

• Demonstrate a deeply substantive execution skill set, knowledge of Loop’s product offering, and how it solves our customers pain points

• Build and maintain relationships with internal customer-facing stakeholders, ensuring that Loop is focused on delivering value for them.

About You

• You have a college degree with a quantitative background in analytics, finance, or economics or STEM similar

• You balance an eagerness to learn with the ability to execute and enjoy solving tough problems

• You have 1+ years of work experience in technology, data analysis or other technical and quantitative fields

• You’re a team player and excited about the opportunity to be an early employee at a fast-paced, fast-growing company

• This is an in person role based in Chicago, New York or San Francisco with the expectation to be in the office

• Bonus points if you have advanced excel skills and SQL, Python or other programming skills, or experience vibe coding/building automations

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans

• 401k plan with company match

• Unlimited PTO

• Physical and Mental fitness subsidies for yoga, meditation, gym, etc

usechatgpt init success
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Qualifications
• 5+ years of backend engineering experience
• Proficiency in languages such as Go, Python, Java, or Node
• Experience building distributed systems and cloud native services
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a closely related technical discipline from a highly regarded university
• Strong debugging skills and ability to optimize performance
• 2 more items(s)
Responsibilities
• Build the backend services and infrastructure that power an AI platform
• You will design scalable APIs, distributed systems, and data pipelines that support high throughput AI workloads
• Design and build backend services that support AI workflows and product features
• Develop scalable APIs and data services used across the platform
• Implement observability, monitoring, and reliability best practices
• Optimize system performance, throughput, and infrastructure cost
• Collaborate closely with frontend and ML engineers on system design and integration
• 4 more items(s)
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Job description
Senior Backend Software Engineer

About The Role

Build the backend services and infrastructure that power an AI platform. You will design scalable APIs, distributed systems, and data pipelines that support high throughput AI workloads.

What You’ll Do

• Design and build backend services that support AI workflows and product features.

• Develop scalable APIs and data services used across the platf...orm.

• Implement observability, monitoring, and reliability best practices.

• Optimize system performance, throughput, and infrastructure cost.

• Collaborate closely with frontend and ML engineers on system design and integration.

What We’re Looking For

• 5+ years of backend engineering experience.

• Proficiency in languages such as Go, Python, Java, or Node.

• Experience building distributed systems and cloud native services.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a closely related technical discipline from a highly regarded university.

• Strong debugging skills and ability to optimize performance.

About Andiamo

Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
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Job highlights
Identified by Google from the original job post
Qualifications
• High School or GED
• Minimum Years of Experience
• Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed
• Ability to work under pressure and manage competing demands in a fast-paced environment
• Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body
• 2 more items(s)
Benefits
• The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future
• The firm's expected hiring range for this position is $129,808 - $206,399 depending on the candidate's geographic market location
• The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications
• We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k)
• 1 more items(s)
Responsibilities
• The AI Solutions Engineer is an embedded partner to the Professional Excellence (PE) Practice Group, responsible for intake and shaping of demand into clear problem statements, prioritized backlogs, and sprint-ready user stories
• The role collaborates with others to deliver iterative, measurable improvements to PE workflows and solutions, with the goal to help build/deliver re-usable AI engineering patterns that the business uses and accelerate sustainable business workflow automation
• This position is designed to support PE's needs with an understanding of Associate-level work and the practical realities of PE workflow and delivery
• PE Intake, Discovery & Problem Framing (Embedded SE/BA)
• Own requirements intake for PE initiatives; capture a concise problem statement, intended outcomes, and success measures
• Engage PE stakeholders to understand workflow pain points and constraints; translate needs into actionable requirements
• Apply an understanding of Associate-level work to ensure solutions fit real execution patterns and reduce friction
• Agile Backlog Management & User Stories
• Produce high-quality requirements including functional requirements and user stories suitable for sprint execution
• Drive iterative elaboration and refinement with stakeholders and solutions for delivery to maintain a healthy backlog and delivery cadence
• Solution Design, Prototyping & Feasibility
• Evaluate and recommend solutions
• Build prototypes / proofs of concept and support iterative refinement to validate feasibility and value
• Action solution design and integration planning
• Testing, Adoption & Operational Readiness
• Support UAT planning and execution; translating feedback into backlog updates and improvement cycles
• Support rollouts, training materials, demos, and adoption activities in partnership with IT/KM and PE stakeholders
• Ensure deliverables meet firm standards for documentation, governance, quality, and supportability
• Cross-Functional Delivery
• Partner with the IT and adjacent teams to surface risks, dependencies, and decisions early and keep delivery moving
• Promote consistent delivery practices as the pod model scales across practice/business groups
• Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties
• Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner
• Provide timely, accurate, and quality work product
• Successfully meet deadlines, expectations, and perform work duties as required
• Foster positive work relationships
• Comply with all firm policies and practices
• Perform all other duties, tasks or projects as assigned
• Sedentary work involves sitting most of the time
• Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met
• The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way
• 28 more items(s)
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Job description
DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The AI Solutions Engineer is an embedded partner to the Professional Excellence (PE) Practic...e Group, responsible for intake and shaping of demand into clear problem statements, prioritized backlogs, and sprint-ready user stories. The role collaborates with others to deliver iterative, measurable improvements to PE workflows and solutions, with the goal to help build/deliver re-usable AI engineering patterns that the business uses and accelerate sustainable business workflow automation. This position is designed to support PE's needs with an understanding of Associate-level work and the practical realities of PE workflow and delivery.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.

Responsibilities

PE Intake, Discovery & Problem Framing (Embedded SE/BA)

• Own requirements intake for PE initiatives; capture a concise problem statement, intended outcomes, and success measures.

• Engage PE stakeholders to understand workflow pain points and constraints; translate needs into actionable requirements.

• Apply an understanding of Associate-level work to ensure solutions fit real execution patterns and reduce friction.

Agile Backlog Management & User Stories

• Produce high-quality requirements including functional requirements and user stories suitable for sprint execution.

• Drive iterative elaboration and refinement with stakeholders and solutions for delivery to maintain a healthy backlog and delivery cadence.

Solution Design, Prototyping & Feasibility

• Evaluate and recommend solutions.

• Build prototypes / proofs of concept and support iterative refinement to validate feasibility and value.

• Action solution design and integration planning.

Testing, Adoption & Operational Readiness

• Support UAT planning and execution; translating feedback into backlog updates and improvement cycles.

• Support rollouts, training materials, demos, and adoption activities in partnership with IT/KM and PE stakeholders.

• Ensure deliverables meet firm standards for documentation, governance, quality, and supportability.

Cross-Functional Delivery

• Partner with the IT and adjacent teams to surface risks, dependencies, and decisions early and keep delivery moving.

• Promote consistent delivery practices as the pod model scales across practice/business groups.

Desired Skills

• Background in building AI based solutions within the practice and will be proficient in building AI agents, data integration, using tools to rapidly build pilots/demos and take to production.

• Understanding of ML models, ability to select the correct models and solution patterns, various RAG patterns (example KG-RAG, Hybrid RAG, Agentic RAG etc.).

• Experience with various agent, context engineering/agentic memory frameworks.

• Understanding of prompt engineering and building evolving frameworks like DSPy and building RL into standardized prompt frameworks for sustainable solutions.

• Ability to apply core engineering for solutions design, rapidly learn, test and certify new frameworks for use in production.

• Demonstrated experience translating stakeholder needs into requirements, user stories, and delivery-ready backlogs.

• Experience with Microsoft 365, Power Platform (Power Automate/Apps), SharePoint, and workflow automation systems.

• Experience with AI-driven tools and adoption patterns in professional services.

• Ability to prototype and deliver low-code solutions and iterate rapidly based on stakeholder feedback.

• Working knowledge of integration concepts (APIs, data flows) and ability to implement integration patterns when needed (e.g., Graph-based patterns).

• Working proficiency in one or more of the following languages: SQL (data validation, reporting, requirements traceability); Python (automation scripts, data shaping, light analysis); PowerShell (M365/automation administration scripting); JavaScript / TypeScript (web/custom UI extensions, integrations); or Java, Go, REST/JSON fluency (API payloads, integration testing).

Minimum Education

• High School or GED

Preferred Education

• Bachelor's Degree in Information systems, Computer Science, Business, or related field.

Minimum Years of Experience

• 5 years of experience in solutions engineering, business analysis, legal technology, or process improvement (professional services preferred).

Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

• Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties.

• Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner.

• Provide timely, accurate, and quality work product.

• Successfully meet deadlines, expectations, and perform work duties as required.

• Foster positive work relationships.

• Comply with all firm policies and practices.

• Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed.

• Ability to work under pressure and manage competing demands in a fast-paced environment.

• Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

The firm's expected hiring range for this position is $129,808 - $206,399 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

#LI-SB1

#LI-Hybrid

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.
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Identified by Google from the original job post
Qualifications
• Minimum of a bachelor’s in computer science, operations research, data science, engineering, mathematics, statistics or related field
Benefits
• A strong focus on learning and development support from day one, including access to our in-house Mars University
• An industry competitive salary and benefits package, including company bonus
• The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience
• The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits
• 1 more items(s)
Responsibilities
• This role will work closely with the AI Catalyst team, comprised of functional subject matter experts, to help guide AI deployments across supply functions and systems, for the North America region
• The Supply Center of Excellence team supports the end-to-end supply chain systems, processes, and capability building
• The AI Developer will drive AI solutions across Planning, Logistics, Order Management, and Internal/External Manufacturing
• This position will play a key role in enabling the Supply ecosystem into the ever-evolving world of Generative AI
• It will help plan and execute across varying types of use cases, to help drive efficiencies, savings and key decision making
• It will help create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of market-leading AI tools
• Live and exemplify the Five Principles of Mars, Inc
• Apply strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services
• Own AI solution design, platform integration, and deployment standards, serving as the primary technical authority for AI capabilities within North America Supply
• Use machine learning techniques, optimization, simulation, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself
• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
• Solution ideation and Development: Guide a team of data scientists and functional experts to create fit for purpose solutions using cutting edge analytical and AI methodologies
• 9 more items(s)
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Job description
Job Description:

Senior AI Platform/ Model Developer

Location - Chicago, New Jersey (other NA Mars site considered)

This AI Platform/ Model Developer Role will be a part of the Mars Snacking NA Supply Center of Excellence team. This role is accountable for building scalable, reliable AI capabilities that are incubated within NA Supply Chain, but designed to scale across the enterprise, integrat...ing directly with core systems and progressing solutions from MVP to business-as-usual.

This role will work closely with the AI Catalyst team, comprised of functional subject matter experts, to help guide AI deployments across supply functions and systems, for the North America region.

The Supply Center of Excellence team supports the end-to-end supply chain systems, processes, and capability building. The AI Developer will drive AI solutions across Planning, Logistics, Order Management, and Internal/External Manufacturing.

This position will play a key role in enabling the Supply ecosystem into the ever-evolving world of Generative AI. It will help plan and execute across varying types of use cases, to help drive efficiencies, savings and key decision making. It will help create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of market-leading AI tools.

What are we looking for?

• Minimum of a bachelor’s in computer science, operations research, data science, engineering, mathematics, statistics or related field. Masters preferred.

• Minimum 5 years' experience in a comparable technical role, preferably within complex, regulated, or large-scale enterprise environments.

• Demonstrated knowledge of Supply chain.

• Strong experience working with modern AI platforms and data integration frameworks.

• Experience with Palantir Foundry or similar platforms preferred.

• Hands-on experience with data pipelines for models and solutions

• Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.

• Direct experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem.

• Experience ensuring compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.

• Ability to translate business needs into analytical frameworks & superior verbal and written communication skills

• Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically.

• Ability to travel 30% dependent on project demands.

What would your key responsibilities be?

• Live and exemplify the Five Principles of Mars, Inc.

• Apply strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services

• Own AI solution design, platform integration, and deployment standards, serving as the primary technical authority for AI capabilities within North America Supply.

• Use machine learning techniques, optimization, simulation, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself

• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products

• Solution ideation and Development: Guide a team of data scientists and functional experts to create fit for purpose solutions using cutting edge analytical and AI methodologies.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by The Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• A strong focus on learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#LI-BM1

The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all US locations listed within the job posting:USD 153,600.00 - USD 211,200.00
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Qualifications
• Required Qualifications Bachelor's or Master's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Relevant internship or 2+ years of related experience in statistics, predictive analytics, or research Experience in applying linguistics and Responsible AI principles in an AI product team Ability to meet security screening requirements Equivalent experience may be considered
Responsibilities
• Key Responsibilities Integrate linguistic concepts into Responsible AI applied science efforts Develop scalable frameworks and resources to identify, measure, and mitigate AI risks Build red-teaming playbooks and guidelines for risk evaluation across diverse systems
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Job description
Position: Applied Scientist in Responsible AI

A company is looking for an Applied Scientist specializing in linguistics and Responsible AI.

Key Responsibilities Integrate linguistic concepts into Responsible AI applied science efforts Develop scalable frameworks and resources to identify, measure, and mitigate AI risks Build red-teaming playbooks and guidelines for risk evaluation across diverse ...systems

Required Qualifications Bachelor's or Master's Degree in Linguistics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Relevant internship or 2+ years of related experience in statistics, predictive analytics, or research Experience in applying linguistics and Responsible AI principles in an AI product team Ability to meet security screening requirements Equivalent experience may be considered
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Identified by Google from the original job post
Qualifications
• 5+ years in Application Security, with at least 1–2 years focused on AI/ML security
• Strong secure coding and vulnerability management background (OWASP Top 10)
• Experience with cloud platforms (AWS and/or Azure)
• Strong programming skills in Python or Java
• Familiarity with AI platforms such as Amazon Bedrock, SageMaker, or Spark
• 2 more items(s)
Benefits
• Competitive salaries
• Medical, Dental, Vision Insurance
• Disability, Life & AD&D Insurance
• 401K With Generous Company Match
• Paid Vacation and Personal Leave
• Pre-Paid Commute Options
• Employee Referral Bonuses
• Performance Based Bonuses
• Flexible Work Options & Fun Culture
• Continuing Education Reimbursements
• In-House Technology Training
• 8 more items(s)
Responsibilities
• iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc
• Application Security with strong AI/ML security exposure
• Threat modeling and risk assessment for AI systems, APIs, and cloud-native applications
• Protection against prompt injection, adversarial ML, data poisoning, and model abuse
• Secure SDLC and CI/CD integration, including MLOps pipelines
• Hands-on experience with SAST, DAST, SCA, container scanning, and security automation
• Strong collaboration with development and data science teams
• 4 more items(s)
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Job description
About The Company

iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, ...components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

What makes iLink Systems' offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

Below is a high-level summary of the profile we are looking for:

Key Focus Areas

• Application Security with strong AI/ML security exposure

• Threat modeling and risk assessment for AI systems, APIs, and cloud-native applications

• Protection against prompt injection, adversarial ML, data poisoning, and model abuse

• Secure SDLC and CI/CD integration, including MLOps pipelines

• Hands-on experience with SAST, DAST, SCA, container scanning, and security automation

• Strong collaboration with development and data science teams

Required Profile

• 5+ years in Application Security, with at least 1–2 years focused on AI/ML security

• Strong secure coding and vulnerability management background (OWASP Top 10)

• Experience with cloud platforms (AWS and/or Azure)

• Strong programming skills in Python or Java

• Familiarity with AI platforms such as Amazon Bedrock, SageMaker, or Spark

Benefits

• Competitive salaries

• Medical, Dental, Vision Insurance

• Disability, Life & AD&D Insurance

• 401K With Generous Company Match

• Paid Vacation and Personal Leave

• Pre-Paid Commute Options

• Employee Referral Bonuses

• Performance Based Bonuses

• Flexible Work Options & Fun Culture

• Continuing Education Reimbursements

• In-House Technology Training
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Job highlights
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Qualifications
• This role requires deep handson experience with multiagent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities
• This is a handson technical leadership role, not an executiononly developer position
• Data & SQL Proficiency
• Use SQL confidently to analyze data, validate outputs, debug issues, and support evaluation and optimization efforts
• 8+ years of experience in AI/ML, data science, or backend engineering, with significant handson work in agentic or GenAI systems
• Proven experience building productiongrade agentic AI systems, not just prototypes or demos
• Strong understanding of:
• Multiagent architectures
• Prompt engineering and agent orchestration
• Evaluation methodologies for LLM and agentic systems
• Demonstrated ability to make independent architectural and model decisions
• Strong SQL skills for data analysis and debugging
• Proficiency in Python and modern AI/ML tooling
• Experience deploying agentic systems in enterprise or regulated environments
• Exposure to MLOps, monitoring, and postdeployment optimization
• Experience aligning AI system performance with business KPIs
• Not an executiononly LangChain / promptengineering position
• 14 more items(s)
Responsibilities
• Agentic AI System Design & Development
• Design and implement complex multiagent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent
• Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows
• Own agent behavior endtoend, from prompt and tool design to runtime execution and iteration
• Evaluation & Performance Optimization
• Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLMasjudge, metrics) and humanintheloop feedback
• Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps
• Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact
• Machine Learning & Model DecisionMaking
• Make informed decisions on model selection, architecture, and tradeoffs based on use case, constraints, and business goals
• Identify model limitations, risks, and loopholes, and proactively mitigate them through design or experimentation
• Optimize model and system performance based on business priorities, not just technical metrics
• Work independently across data sources without reliance on downstream teams for basic analysis
• Partner closely with product, business, and engineering stakeholders to translate business objectives into robust agentic AI solutions
• Clearly communicate technical decisions, tradeoffs, and system behavior to both technical and nontechnical audiences
• Not a role where architectural decisions are fully prescribed by others
• 13 more items(s)
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Job description
Agentic AI Developer (Principal / Lead Level)

Role Summary

We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep handson experience with multiagent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned ...to business priorities.

This is a handson technical leadership role, not an executiononly developer position.

Key Responsibilities

Agentic AI System Design & Development

• Design and implement complex multiagent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent.

• Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows.

• Own agent behavior endtoend, from prompt and tool design to runtime execution and iteration.

Evaluation & Performance Optimization

• Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLMasjudge, metrics) and humanintheloop feedback.

• Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps.

• Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact.

Machine Learning & Model DecisionMaking

• Make informed decisions on model selection, architecture, and tradeoffs based on use case, constraints, and business goals.

• Identify model limitations, risks, and loopholes, and proactively mitigate them through design or experimentation.

• Optimize model and system performance based on business priorities, not just technical metrics.

Data & SQL Proficiency

• Use SQL confidently to analyze data, validate outputs, debug issues, and support evaluation and optimization efforts.

• Work independently across data sources without reliance on downstream teams for basic analysis.

CrossFunctional Collaboration

• Partner closely with product, business, and engineering stakeholders to translate business objectives into robust agentic AI solutions.

• Clearly communicate technical decisions, tradeoffs, and system behavior to both technical and nontechnical audiences.

Required Qualifications

• 8+ years of experience in AI/ML, data science, or backend engineering, with significant handson work in agentic or GenAI systems.

• Proven experience building productiongrade agentic AI systems, not just prototypes or demos.

• Strong understanding of:

• Multiagent architectures

• Prompt engineering and agent orchestration

• Evaluation methodologies for LLM and agentic systems

• Demonstrated ability to make independent architectural and model decisions.

• Strong SQL skills for data analysis and debugging.

• Proficiency in Python and modern AI/ML tooling.

Nice to Have

• Experience deploying agentic systems in enterprise or regulated environments.

• Exposure to MLOps, monitoring, and postdeployment optimization.

• Experience aligning AI system performance with business KPIs.

What This Role Is Not

• Not an entrylevel or learningonthejob agentic AI role

• Not an executiononly LangChain / promptengineering position

• Not a role where architectural decisions are fully prescribed by others
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Job highlights
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Qualifications
• Education: Bachelors degree in AI Data Analytics or related discipline
• Experience: 7+ years of data analysis
• Must haves: Experience supervising programs artificial intelligence analysis activities
• Citizenship and Clearance:US
• Citizen with Active Secret Clearance and or ability to obtain one
• Travel: Ability to travel up to 25% to support client meetings and requirements
• Skills: Python, R or SQL, data visualization/BI tools, statistical methods
• Proficiency with SharePoint, TEAMS
• Above average proficiency in other Microsoft Office products; strong verbal and written communication skills; strong documentation and technical reporting skills, strong problem-solving skills; ability to work independently and lead a team
• 6 more items(s)
Benefits
• LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance)
• WORK HOURS: NOT REMOTE (Onsite only)
Responsibilities
• Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics
• Constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity
• Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards
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Job description
Salary:

LTC Solutions, LLC is a small company with ahuge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent super...ior-quality work, and taking initiative to understand your clients needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).

POSITION: AI Data Senior Analyst

LOCATION: Arlington, VA (Onsite)

STATUS: Full time Contingent Hire

WORK HOURS: NOT REMOTE (Onsite only)

REQUIRED QUALIFICATIONS:

• Education: Bachelors degree in AI Data Analytics or related discipline

• Experience: 7+ years of data analysis

• Must haves: Experience supervising programs artificial intelligence analysis activities

• Citizenship and Clearance:US. Citizen with Active Secret Clearance and or ability to obtain one

• Travel: Ability to travel up to 25% to support client meetings and requirements

• Skills: Python, R or SQL, data visualization/BI tools, statistical methods. Proficiency with SharePoint, TEAMS. Above average proficiency in other Microsoft Office products; strong verbal and written communication skills; strong documentation and technical reporting skills, strong problem-solving skills; ability to work independently and lead a team

DESIRED QUALIFICATIONS:

• Client Familiarity: Experience supporting U.S. Marine Corps

• Tools Familiarity: Python, R or SQL

PRIMARY DUTIES:

• Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics.

• Constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity.

• Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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AI Developer

Qualifications

Benefits

Responsibilities

Full Description

Compensation is between $35 to $40 per hour.

Zero to AI Engineer