Job highlights
Identified by Google from the original job post
Qualifications
• The ideal candidate should have a Master's or Bachelor's degree in a related field and between 5-8 years of hands-on experience in AI/ML applications
Responsibilities
• Key responsibilities include contributing to application systems analysis and programming, with a strong focus on natural language processing and Retrieval-Augmented Generation technologies
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Job description
Position: Senior Python Developer & AI/ML Lead (AVP)

A leading global bank in Jacksonville, FL, is looking for an intermediate Python Developer to join their Enterprise Operations & Technology team. The ideal candidate should have a Master's or Bachelor's degree in a related field and between 5-8 years of hands-on experience in AI/ML applications. Key responsibilities include contributing to appli...cation systems analysis and programming, with a strong focus on natural language processing and Retrieval-Augmented Generation technologies.

The position offers a chance to work in a dynamic environment with opportunities for growth.

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Qualifications

• Experience Required: 1 to 4 years

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

• 6 months – 4 years of experience in AI/ML development with a focus on Generative AI and NLP

• Strong understanding of transformer-based architectures (e.g., GPT, LLaMA, Claude, Gemini)

• Hands-on experience with Python, LangChain, Hugging Face, or OpenAI API

• Experience integrating GenAI models into real-world applications or enterprise systems

• Proficiency in cloud computing environments (AWS, GCP, or Azure)

• Strong problem-solving and creative thinking skills

• 5 more items(s)

Benefits

• Collaborative and innovative environment that values experimentation

• Opportunities to shape the future of AI-driven business transformation

Responsibilities

• You will collaborate cross-functionally with data scientists, engineers, and product teams to bring creative AI concepts to life, leveraging tools like OpenAI, Anthropic, Google Vertex AI, or similar platforms

• Design and develop applications and workflows using Generative AI and Large Language Models (LLMs)

• Fine-tune pre-trained models to meet specific business needs and improve performance

• Collaborate with cross-functional teams to identify opportunities for AI-driven innovation

• Build prompt engineering strategies to optimize model outputs

• Research and prototype new approaches in text, image, and multimodal generation

• Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, or GCP)

• Evaluate and monitor AI model accuracy, bias, and performance metrics

• Stay up to date with the latest trends in GenAI, NLP, and machine learning technologies

• 6 more items(s)

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Job description

Generative AI/ML

About the Role:

We are seeking a Generative AI/ML with an innovative and forward-thinking mindset to join our dynamic team. The ideal candidate will be passionate about artificial intelligence, natural language processing, and large language models (LLMs), with the ability to design, develop, and deploy GenAI-driven solutions that transform business processes and enhance product...ivity.

You will collaborate cross-functionally with data scientists, engineers, and product teams to bring creative AI concepts to life, leveraging tools like OpenAI, Anthropic, Google Vertex AI, or similar platforms.

Experience Required: 1 to 4 years

Key Responsibilities:

• Design and develop applications and workflows using Generative AI and Large Language Models (LLMs).

• Fine-tune pre-trained models to meet specific business needs and improve performance.

• Collaborate with cross-functional teams to identify opportunities for AI-driven innovation.

• Build prompt engineering strategies to optimize model outputs.

• Research and prototype new approaches in text, image, and multimodal generation.

• Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, or GCP).

• Evaluate and monitor AI model accuracy, bias, and performance metrics.

• Stay up to date with the latest trends in GenAI, NLP, and machine learning technologies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• 6 months – 4 years of experience in AI/ML development with a focus on Generative AI and NLP.

• Strong understanding of transformer-based architectures (e.g., GPT, LLaMA, Claude, Gemini).

• Hands-on experience with Python, LangChain, Hugging Face, or OpenAI API.

• Experience integrating GenAI models into real-world applications or enterprise systems.

• Proficiency in cloud computing environments (AWS, GCP, or Azure).

• Strong problem-solving and creative thinking skills.

Preferred Skills:

• Experience with multimodal AI (text, image, or audio generation).

• Familiarity with vector databases (Pinecone, FAISS, Chroma).

• Exposure to prompt engineering, RAG (Retrieval-Augmented Generation), and LLMOps.

• Excellent communication skills and ability to explain complex AI concepts in simple terms.

Why Join Us:

• Work with cutting-edge AI tools and technologies.

• Collaborative and innovative environment that values experimentation.

• Opportunities to shape the future of AI-driven business transformation.

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Qualifications

• Bachelor's degree in Computer Science

• Hands-on software development experience and fluency in AI technologies, including prompt engineering

• Demonstrated customer-facing experience (consulting, project management, client delivery, or entrepreneurial)

• Strong systems integration skills and ability to work across diverse tech stacks

• Business process analysis skills - you understand how companies make money and can connect technical solutions to business outcomes

• Bonus: experience with CRM/PMS systems, SaaS platforms, or the AI industry

• Tier 1 CS program + top consulting firm with technical implementation work

• Tier 1 tech company with a customer-facing component

• Software engineering + entrepreneurial experience in a customer-facing business

• Key Success Drivers

• Technical curiosity: You pick up new skills fast, can own complex implementations independently, and stay current on AI

• Customer ownership: You manage expectations, drive delivery, and don't let problems sit - you hold on until it's solved

• Business intuition: You can break a business problem into technical pieces and tie the work back to real outcomes

• Ownership mentality: You make things happen without being told twice and pull in the right people when needed

• Case Study (business case assessment)

• Technical Interview (coding ability, AI/prompt engineering, learning agility)

• 13 more items(s)

Benefits

• Compensation: $100,000-$125,000 base salary (W-2) + 10% annual bonus + equity

• Benefits: Medical and dental coverage

• Remote: Fully distributed team, any US location welcome

• Impact: 10,000+ businesses on the platform - your work directly shapes a product at scale

• Momentum: $32M raised, revenue doubling, Series A just closed - early enough for real equity upside, funded enough for stability

• 2 more items(s)

Responsibilities

• Replace manual, expensive, inconsistent customer communication with autonomous AI that generates real revenue for SMBs

• Understand partner and customer business needs and translate them into technical specifications and deployment plans

• Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems)

• Own implementations end-to-end - from kickoff through go-live - managing stakeholders and driving projects to completion

• Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight

• Identify and mitigate technical risks throughout the implementation lifecycle

• Contribute to building scalable deployment practices as the team grows

• Final Deep Dive with the CEO (ownership, customer focus, and leadership)

• 5 more items(s)

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About the Company

Our client is an AI platform building autonomous AI Receptionists and Agents that handle calls, book appointments, nurture leads, and drive revenue for small and medium-sized businesses - 24/7, across every channel. Founded in 2023 by a repeat founder whose prior AI company reached 50M+ users across 200 countries, the company is backed by world-class investors and has deployed 1...5,000 AI agents across 10,000 businesses.

Fresh off a $25M Series A, our client doubled revenue in the final two months of 2025 and is scaling aggressively toward 1 million AI agents deployed.

The Mission

Replace manual, expensive, inconsistent customer communication with autonomous AI that generates real revenue for SMBs. Our client's platform lets any business deploy a fully configured AI receptionist in 3 minutes - no coding required - with sub-second latency, 99.99% uptime, 200+ integrations, and omnichannel coverage across phone, SMS, email, web chat, WhatsApp, Instagram, TikTok, and more.

The Opportunity

Our client is building a Solutions Architect team to own the full deployment of AI agents across partners and customers in North America and EMEA. You'll be joining a team at a pivotal moment - well-funded, growing fast, and building the infrastructure that thousands of SMBs run their businesses on.

Our client is hiring 3-5 Solutions Architects for immediate start. If you're an exceptional early-career technologist from a top program who thrives on ownership, customer impact, and building production AI systems, we want to hear from you.

What You'll Do

• Understand partner and customer business needs and translate them into technical specifications and deployment plans

• Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems)

• Own implementations end-to-end - from kickoff through go-live - managing stakeholders and driving projects to completion

• Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight

• Identify and mitigate technical risks throughout the implementation lifecycle

• Contribute to building scalable deployment practices as the team grows

What You Bring

• Bachelor's degree in Computer Science

• Hands-on software development experience and fluency in AI technologies, including prompt engineering

• Demonstrated customer-facing experience (consulting, project management, client delivery, or entrepreneurial)

• Strong systems integration skills and ability to work across diverse tech stacks

• Business process analysis skills - you understand how companies make money and can connect technical solutions to business outcomes

• Bonus: experience with CRM/PMS systems, SaaS platforms, or the AI industry

Ideal backgrounds include:

• Tier 1 CS program + top consulting firm with technical implementation work

• Tier 1 tech company with a customer-facing component

• Software engineering + entrepreneurial experience in a customer-facing business

Key Success Drivers

• Technical curiosity: You pick up new skills fast, can own complex implementations independently, and stay current on AI

• Customer ownership: You manage expectations, drive delivery, and don't let problems sit - you hold on until it's solved

• Business intuition: You can break a business problem into technical pieces and tie the work back to real outcomes

• Ownership mentality: You make things happen without being told twice and pull in the right people when needed

Why Join?

• Compensation: $100,000-$125,000 base salary (W-2) + 10% annual bonus + equity

• Benefits: Medical and dental coverage

• Remote: Fully distributed team, any US location welcome

• Impact: 10,000+ businesses on the platform - your work directly shapes a product at scale

• Momentum: $32M raised, revenue doubling, Series A just closed - early enough for real equity upside, funded enough for stability

• Stack: Groq, Llama, Gemini, OpenAI, and proprietary Zero-Hallucination architecture - production AI on real calls, at scale

Interviewing Process

• HR Screen

• Case Study (business case assessment)

• Technical Interview (coding ability, AI/prompt engineering, learning agility)

• Final Deep Dive with the CEO (ownership, customer focus, and leadership)

• Reference Checks & Offer

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

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Qualifications

• The ideal candidate has hands-on experience with NLP, LLMs, and Retrieval-Augmented Generation (RAG) pipelines, strong backend development skills, and experience deploying AI systems in cloud environments

• Programming Languages: Python, JavaScript, TypeScript

• Cloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CD pipelines

• Bachelor s degree in Computer Science, Data Science, Machine Learning, Linguistics, or a related field

• 2+ years of experience in NLP, AI, or LLM-based application development

• Strong experience building and maintaining production-ready APIs and AI systems

• Familiarity with RAG architectures, embeddings, semantic search, and vector databases

• Experience deploying AI solutions in cloud environments

• 5 more items(s)

Responsibilities

• This role works on scalable, production-ready platforms that extract insight from large volumes of corporate data, enable knowledge discovery, and support decision-making across the enterprise

• Enhance and maintain an enterprise AI chat and document intelligence platform

• Design, develop, and optimize LLM and RAG pipelines, including embeddings and semantic search

• Build backend APIs and AI services for scalable, multi-team usage

• Develop conversational AI systems for enterprise knowledge discovery and decision support

• Integrate AI solutions with enterprise systems, including OAuth, LDAP, and cloud services

• Translate business and document requirements into effective AI solutions

• Support production deployments through monitoring, logging, troubleshooting, and performance optimization

• Contribute to scalable, microservices-based AI platforms

• Core Technologies and Tools

• AI / Machine Learning: LLMs (Claude, GPT), LangChain, vector search, embeddings, NLP libraries

• Backend Development: FastAPI, Node.js, Express

• Databases & Storage: MongoDB, vector databases

• 10 more items(s)

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Summary

The Generative AI Scientist designs, develops, and supports enterprise-grade AI solutions focused on document intelligence, conversational AI, and large language model (LLM) applications. This role works on scalable, production-ready platforms that extract insight from large volumes of corporate data, enable knowledge discovery, and support decision-making across the enterprise.

The idea...l candidate has hands-on experience with NLP, LLMs, and Retrieval-Augmented Generation (RAG) pipelines, strong backend development skills, and experience deploying AI systems in cloud environments.

Responsbilities

• Enhance and maintain an enterprise AI chat and document intelligence platform

• Design, develop, and optimize LLM and RAG pipelines, including embeddings and semantic search

• Build backend APIs and AI services for scalable, multi-team usage

• Develop conversational AI systems for enterprise knowledge discovery and decision support

• Integrate AI solutions with enterprise systems, including OAuth, LDAP, and cloud services

• Translate business and document requirements into effective AI solutions

• Support production deployments through monitoring, logging, troubleshooting, and performance optimization

• Contribute to scalable, microservices-based AI platforms

Core Technologies and Tools

• Programming Languages: Python, JavaScript, TypeScript

• AI / Machine Learning: LLMs (Claude, GPT), LangChain, vector search, embeddings, NLP libraries

• Backend Development: FastAPI, Node.js, Express

• Cloud & DevOps: AWS (ECS, EKS, S3, Lambda, Bedrock), Docker, Kubernetes, CI/CD pipelines

• Databases & Storage: MongoDB, vector databases

Required Qualifications

• Bachelor s degree in Computer Science, Data Science, Machine Learning, Linguistics, or a related field

• 2+ years of experience in NLP, AI, or LLM-based application development

• Strong experience building and maintaining production-ready APIs and AI systems

• Familiarity with RAG architectures, embeddings, semantic search, and vector databases

• Experience deploying AI solutions in cloud environments

Preferred Qualifications

• Master s or PhD in a related field

• Experience with MLOps, microservices, and enterprise authentication systems

• Knowledge of advanced NLP techniques and observability tooling

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Below are the details of the position:Job Title: AI EngineerWork Location: Bromley, UK (Hybrid – 3 days in a week)Job Description: * We are seeking an experienced AI and Generative AI Engineer with over 5+ years of experience designing, developing, and deploying AI driven solutions across cloud, edge, and embedded environments. * Proven expertise in building end-to-end AI solutions leveraging both... large and small language models (LLMs & SLMs), spanning the full lifecycle from foundational model development to scalable, production-grade deployment

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Job description

A leading fintech firm is seeking a Director of Product to lead their Growth Product team in Vancouver. This role involves driving customer acquisition strategies, collaborating with cross-functional teams, and refining automation processes. Candidates should have at least 10 years of product management experience, especially with B2B products. A strong analytical and communication skill set is es...sential. The position offers a competitive salary range and encourages a balance between office and remote work.

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Huawei Canada has an immediate permanent opening for a full-time permanent Principal AI Research Engineer.

About the Team:

Established in 2012, the Central Media Technology Institute (CMTI) is Huawei's center for media technology innovation and engineering, enhancing the technical competitiveness of media products. Sitting within CMTI, the Graphics Technology Lab focuses on research and breakthr...oughs in photography, audio, video, computer graphics, XR, and codec standards to maintain the company's leadership in media technology. Our R&D team comprises skilled CG algorithm experts, researchers, software architects, and standards specialists dedicated to building core capabilities for an improved graphics experience.

About the Job:

• Develop and lead projects, team ideas, and mentor junior engineers.

• Conduct advanced research and engineering on AI-based rendering techniques including but not limited to Neural Rendering acceleration, Neural material representation, Neural Texture Compression, etc.

• Transfer advanced research AI/CG solutions to solving real-world problems that will be integrated in various Huawei products.

• Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.

The base salary for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.

Job requirements

What you’ll bring to the team:

• Solid industry engineering level and experience over 5 years.

• Industry work experience in CG related field over 3 years with hands-on development.

• MSc / Ph.D. in computer science or related fields with a focus on applied ML to computer graphics or computer vision.

• Extensive Background in machine learning and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniques.

• Experienced in neural representation/rendering such as NerF, Gaussian Splatting, neural rendering, procedural generation, SVBRDF, etc.

• Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly.

• Published Papers at relevant conferences or Journals such as SIGGRAPH, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI.

• Experienced programming skills on shading languages, e.g., glsl, hlsl, etc.

• Experienced in building large-scale machine learning solutions for general computer vision/graphics topics including model design, data collection/augmentation evaluation, etc.

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Qualifications

• Bachelor’s degree in Business, Engineering, Information Systems, or equivalent experience

• 7+ years in commercial operations, service operations, business analysis, or data analytics

• Proven ability to lead and develop high-performing teams

• Strong understanding of commercial and service operations and their interdependencies

• Expertise in systems thinking and holistic data analysis

• Proficiency in BI tools and advanced analytics frameworks

• Knowledge of AI/ML frameworks and practical application for business use cases

• Travel Requirements: approximately 20-30%, depending on initiatives & priorities, as this role will support a global commercial & service organization

• 2+ years in a leadership role, ideally with global or cross-cultural teams

• Experience with enterprise platforms (SAP, Salesforce, Microsoft Azure)

• Advanced Power BI, SQL, or Python skills

• Familiarity with Lean, Six Sigma, or process improvement frameworks

• Exposure to RPA tools (UIPath, Power Automate, Zapier)

• Experience in regulated industries (medical device, healthcare technology)

• Master’s degree in Business, Analytics, or related field

• 12 more items(s)

Benefits

• Leica Biosystems, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives

• Whether it’s a health care program or paid time off, our programs contribute to life beyond the job

• This position is eligible for a remote work arrangement in which you can work remotely from your home

• The annual salary range OR the hourly range for this role is $120,000 - $150,000

• This job is also eligible for bonus/incentive pay

• We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees

• Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable

• The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law

• 5 more items(s)

Responsibilities

• The manager heads a team of analysts and data engineers to deliver insights, automation, and scalable solutions that accelerate commercial growth and operational excellence

• The ideal candidate combines commercial and service domain expertise, technical fluency, and people leadership, with a passion for transforming business performance through data and AI

• This position reports to the Director – Global Analytics & Master Data as part of a Global Commercial Operations function

• This role is remote, based in the USA or Europe

• Lead, mentor, and grow a team of analysts and engineers, fostering accountability, innovation, and professional development

• Shape and execute the roadmap for digital transformation, leveraging data and AI to enable commercial growth and service excellence

• Ensure delivery of robust reporting, dashboards, and automation tools in partnership with Analytics & BI teams

• Coach the team to translate complex business needs into technical requirements, ensuring alignment between stakeholders and technical teams

• Champion and lead process mapping and improvement initiatives across commercial & service workflows/systems to enhance efficiency and customer experience

• Serve as a strategic advisor to commercial and service leadership, providing analytical guidance and influencing decisions that drive measurable impact

• Elevate data literacy across the global organization through education, enablement, and advocacy for data-driven decision-making

• Explore the flexibility and challenge that working for Leica Biosystems can provide

• 9 more items(s)

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Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Leica Biosystems, one of Danaher’s (https://danaher.com/our-businesses) 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and yo...ur unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

At Leica Biosystems, we’re not just shaping the future of cancer diagnostics — we’re transforming lives. Our mission of “Advancing Cancer Diagnostics, Improving Lives” is the driving force behind everything we do. As a global leader with the most comprehensive portfolio spanning from biopsy to diagnosis, we empower clinicians with innovative, reliable solutions so they can give patients timely, accurate answers when they need them most. When you join Leica Biosystems, you’re not just taking a job; you’re becoming part of a passionate team that knows every moment matters when it comes to cancer. You’ll help develop diagnostic solutions that turn anxiety into answers, and aid the acceleration of next-generation, life-changing therapies. Surrounded by a diverse and collaborative global community, you’ll be inspired each day to stretch, grow, and make an impact.

Learn about the Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) which makes everything possible.

The Manager, Data & AI Enablement is a strategic and operational leader responsible for driving data-informed decision-making and enabling AI-driven solutions across a global commercial organization. The manager heads a team of analysts and data engineers to deliver insights, automation, and scalable solutions that accelerate commercial growth and operational excellence. The ideal candidate combines commercial and service domain expertise, technical fluency, and people leadership, with a passion for transforming business performance through data and AI.

This position reports to the Director – Global Analytics & Master Data as part of a Global Commercial Operations function. This role is remote, based in the USA or Europe.

In this role, you will have the opportunity to:

• Lead, mentor, and grow a team of analysts and engineers, fostering accountability, innovation, and professional development.

• Shape and execute the roadmap for digital transformation, leveraging data and AI to enable commercial growth and service excellence.

• Ensure delivery of robust reporting, dashboards, and automation tools in partnership with Analytics & BI teams.

• Coach the team to translate complex business needs into technical requirements, ensuring alignment between stakeholders and technical teams.

• Champion and lead process mapping and improvement initiatives across commercial & service workflows/systems to enhance efficiency and customer experience.

• Serve as a strategic advisor to commercial and service leadership, providing analytical guidance and influencing decisions that drive measurable impact.

• Elevate data literacy across the global organization through education, enablement, and advocacy for data-driven decision-making.

The essential requirements of the job include:

• Bachelor’s degree in Business, Engineering, Information Systems, or equivalent experience.

• 7+ years in commercial operations, service operations, business analysis, or data analytics.

• Proven ability to lead and develop high-performing teams.

• Strong understanding of commercial and service operations and their interdependencies.

• Expertise in systems thinking and holistic data analysis.

• Proficiency in BI tools and advanced analytics frameworks.

• Knowledge of AI/ML frameworks and practical application for business use cases.

Travel Requirements: approximately 20-30%, depending on initiatives & priorities, as this role will support a global commercial & service organization

It would be a plus if you also possess previous experience in:

• 2+ years in a leadership role, ideally with global or cross-cultural teams.

• Experience with enterprise platforms (SAP, Salesforce, Microsoft Azure).

• Advanced Power BI, SQL, or Python skills.

• Familiarity with Lean, Six Sigma, or process improvement frameworks.

• Exposure to RPA tools (UIPath, Power Automate, Zapier).

• Experience in regulated industries (medical device, healthcare technology).

• Master’s degree in Business, Analytics, or related field.

Leica Biosystems, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info (https://leplb1040.upoint.alight.com/ah-angular-afirst-web/#/web/danaher/cp/preauth-home) .

At Leica Biosystems, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Leica Biosystems can provide.

The annual salary range OR the hourly range for this role is $120,000 - $150,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com .

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

The U.S. EEO posters are available here (http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com .

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A leading consultancy in the Energy sector seeks a professional to enhance upstream operations using ML and LLM solutions. The candidate should have over 6 years of experience in Upstream Operations, a strong background in building Digital Solutions bridging IT and OT, and expertise in AI, ML, and LLM technologies. Excellent English proficiency is required. This role involves developing business c...ases and overseeing their execution, ensuring that clients’ needs are met efficiently.

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Qualifications

• We need a high-level problem solver who uses AI and Machine Learning to unlock the "why" behind our data and turns those insights into a differentiated customer experience, better product, and a more efficient operation

• Operational Lens: You understand how a Customer Success or Care organization functions

• You can speak the language of "tickets," "retention," and "CSAT" just as fluently as "joins" and "LLMs."

• High Visibility Influence: You are a confident communicator who can stand your ground with senior leadership, translating complex technical findings into clear, strategic recommendations

• 6+ years of experience in a high-growth, data-intensive environment (e.g., Analytics, Data Science, or Business Intelligence)

• Proficient in SQL: Expert-level ability to navigate complex schemas and build performant queries (experience with Snowflake is a major plus)

• AI/LLM Savvy: Demonstrated ability to use AI tools (ChatGPT, Gemini, Snowflake Cortex, etc.)

• Strong with BI Tools: Extensive experience building high-impact dashboards and visualizations in tools like Sigma, Looker, or Tableau

• Data Science Familiarity: Comfortable with foundational data science concepts (regression, classification, clustering) and how to apply them to business problems

• Technical Communication: Ability to bridge the gap between technical data work and business-facing outcomes

• 7 more items(s)

Benefits

• We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry

• Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs

• The base salary range for this role is listed below

• The starting salary will be determined based on skills and experience

• In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible)

• Pay Range

• $119,000—$190,000 USD

• 4 more items(s)

Responsibilities

• You will bridge the gap between unstructured customer feedback (chat, voice, email) and our structured data environments

• By connecting these worlds, you will deliver insights that help to identify gaps in our current roadmaps, surface unmet customer needs, and drive the organization toward our goals of reducing customer pain and increasing revenue retention

• Strategic Business Partner: Build deep relationships with Care Operations and VoC to understand their highest-priority friction points

• You won't just deliver data; you’ll help them enhance their strategies with insights they didn't know were possible

• AI-Powered Analysis: Use Snowflake Cortex, Python, and LLMs to classify and score interactions (complexity, urgency, sentiment)

• You will turn hundreds of thousands of conversations into structured, actionable insights that drive a world class customer experience

• The "Insight-to-Action" Playbook: Create a scalable framework for how the organization can benefit from the insights AI unlocks

• This includes building prompt libraries and analytical playbooks that allow the broader Care team to access and use data more effectively

• Experiment with Purpose: Maintain a culture of "iterate and ship," but always with an eye on accuracy and business goals

• You ensure that every AI experiment is tied directly to a business outcome

• Problem Solver & Independent Lead: As a subject matter expert and strong individual contributor, you own the "how." You are expected to navigate ambiguity, identify blockers before they become issues, and bring data-backed solutions and recommendations to Directors, VPs, and the COO

• Applied AI/ML Experience: You have a proven track record of using AI, ML, and Data Science tools for analytical purposes—specifically for classification, sentiment analysis, or trend identification in a professional setting

• to analyze large sets of unstructured data

• 10 more items(s)

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Job description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

At Toast, we are obsessed with our customers’ success. As a AI Data Strategist - Customer Success you will be a strategic partner to our Care Operations, Voice of the Customer (VoC), and R&D teams. We need a high...-level problem solver who uses AI and Machine Learning to unlock the "why" behind our data and turns those insights into a differentiated customer experience, better product, and a more efficient operation.

You will bridge the gap between unstructured customer feedback (chat, voice, email) and our structured data environments. By connecting these worlds, you will deliver insights that help to identify gaps in our current roadmaps, surface unmet customer needs, and drive the organization toward our goals of reducing customer pain and increasing revenue retention.

• Strategic Business Partner: Build deep relationships with Care Operations and VoC to understand their highest-priority friction points. You won't just deliver data; you’ll help them enhance their strategies with insights they didn't know were possible.

• AI-Powered Analysis: Use Snowflake Cortex, Python, and LLMs to classify and score interactions (complexity, urgency, sentiment). You will turn hundreds of thousands of conversations into structured, actionable insights that drive a world class customer experience.

• The "Insight-to-Action" Playbook: Create a scalable framework for how the organization can benefit from the insights AI unlocks. This includes building prompt libraries and analytical playbooks that allow the broader Care team to access and use data more effectively.

• Experiment with Purpose: Maintain a culture of "iterate and ship," but always with an eye on accuracy and business goals. You ensure that every AI experiment is tied directly to a business outcome.

• Problem Solver & Independent Lead: As a subject matter expert and strong individual contributor, you own the "how." You are expected to navigate ambiguity, identify blockers before they become issues, and bring data-backed solutions and recommendations to Directors, VPs, and the COO.

A day in the life (Responsibilities)

• Applied AI/ML Experience: You have a proven track record of using AI, ML, and Data Science tools for analytical purposes—specifically for classification, sentiment analysis, or trend identification in a professional setting.

• Operational Lens: You understand how a Customer Success or Care organization functions. You can speak the language of "tickets," "retention," and "CSAT" just as fluently as "joins" and "LLMs."

• High Visibility Influence: You are a confident communicator who can stand your ground with senior leadership, translating complex technical findings into clear, strategic recommendations.

What you'll need to thrive (Requirements)

• 6+ years of experience in a high-growth, data-intensive environment (e.g., Analytics, Data Science, or Business Intelligence).

• Proficient in SQL: Expert-level ability to navigate complex schemas and build performant queries (experience with Snowflake is a major plus).

• AI/LLM Savvy: Demonstrated ability to use AI tools (ChatGPT, Gemini, Snowflake Cortex, etc.) to analyze large sets of unstructured data.

• Strong with BI Tools: Extensive experience building high-impact dashboards and visualizations in tools like Sigma, Looker, or Tableau.

• Data Science Familiarity: Comfortable with foundational data science concepts (regression, classification, clustering) and how to apply them to business problems.

Technical Communication: Ability to bridge the gap between technical data work and business-facing outcomes.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible).

Pay Range

$119,000—$190,000 USD

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people.

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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