Job description

About The Role

This role focuses on building and deploying applications within advanced AI training environments. Work involves integrating real-world software into sandbox systems, ensuring stability, scalability, and production readiness across use cases.

Position: Software Engineer

Type: Hourly Contract

Compensation: $40–$50/hour

Location: Remote Global | Part-time

Role Responsibilities

- ... Build MCP servers in Python using FastMCP

- Integrate web or desktop applications into AI training environments

- Work with APIs, Docker, Linux systems, and service configurations

- Implement populate and snapshot hooks for application state management

- Test applications locally and debug build, runtime, and permission issues

- Ensure applications meet validation and deployment standards

Qualifications

Must-Have:

- Strong proficiency in Python

- Experience with APIs, backend systems, and debugging

- Familiarity with Docker, Linux, and local development workflows

- Ability to work with configuration files and deployment pipelines

- Strong problem-solving skills and attention to technical detail

Nice-to-Have

- Experience with FastMCP or similar frameworks

- Experience integrating third-party applications or developer tools

- Familiarity with web applications, databases, and containerized environments

Application & Onboarding Process

- Upload resume

- AI interview: A short, 15-minute conversational session to assess background and experience

- Follow-up communication with next steps and onboarding details

Choose what you’re giving feedback on

## Job Description

Who You’ll Work With

At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what’s possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. As a Senior Principal, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies. Senior Principals balance their time between being an effective people leader and acting as a hands-on, senior technical lead for large scale, multi-functional product teams creating intelligent products for our clients. You’ll bring your passion for building Machine Learning solutions with state-of-the-art technology to tackle challenging situations and solve our client’s most complex problems.

What You’ll Do

- Advance the craft by developing and sharing Machine Learning thought leadership and vision, internally and to clients.

- Build a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops

- Hands-on with ML data platforms (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)

- Write in Python or other languages to deliver a wide variety of AI & Machine Learning solutions

- Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale for some of our most challenging engagements

- Stay abreast of new tools, packages, and Machine Learning techniques, while consistently pushing the limit of what is possible to deliver the best solutions for clients

- Collaborate with Product Owners to apply Slalom’s Agile processes and be responsible for the initiation, delivery, and transition of projects for your team in a client-facing role

- Act as an advocate and mentor to junior engineers and architects, providing them with career guidance, meaningful work, and professional development opportunities

- Collaborate with a variety of stakeholders across the Slalom organization and our clients to discuss their project needs

- Support pre-sales conversations with our client’s most technical Machine Learning staff

- Ensure the delivery of successful outcomes for staffed teams

- Staff, lead, and mentor machine learning practitioners and engineers

- Share learnings and project findings with the wider Slalom Machine Learning Community

- Be a trusted partner to clients and uphold Slalom’s values

Travel may be required on a limited basis dependent on your client engagement or internal meetings/events.

What You’ll Bring

- Experience leading technical project delivery teams

- Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)

- Experience implementing machine learning models in production

- Experience developing models and other data science work utilizing Python

- Familiarity, or strong desire to work with and gain an understanding of Generative AI, such as working with foundation models (GPT-3/4, Gemini, Mixtral, Llama, etc.)

- Experience with building computer vision models - Preferred

- Ability to lead exploratory data analysis within new subject matters or new data structures

- Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, and Lean)

- Experience with designing and engineering MLOps pipelines or CI/CD implementations

- Collaborating with peers and leading peer reviews within your project team

- Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark

## About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

## Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and salary ranges:

- East Bay, San Francisco, Silicon Valley:

- Senior Principal: $229,000-$281,000

- Boston, Los Angeles, New Jersey, New York City, Orange County, San Diego, Seattle, Washington DC, White Plains:

- Senior Principal: $210,000-$257,000

- All other locations:

- Senior Principal: $193,000-$236,000

In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The pay range is subject to change and may be modified at any time.

We will accept applicants until the position is filled.

## EEO and Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

## Job Description

We are seeking a highly skilled and hands-on AI Engineer with deep expertise in Generative AI, AWS cloud technologies, Anthropic Claude models, and Databricks-based data engineering and analytics platforms. This role will lead the design, development, and deployment of enterprise-scale AI and machine learning solutions supporting research, clinical, commercial, and operational initiatives across the organization.

The ideal candidate will possess strong experience building production-ready AI solutions using AWS Bedrock, Anthropic Claude LLMs, vector databases, Retrieval-Augmented Generation (RAG) architectures, and Databricks Lakehouse technologies. The role requires close collaboration with data scientists, data engineers, cybersecurity teams, and business stakeholders to operationalize scalable, secure, and compliant AI capabilities in a regulated healthcare and life sciences environment.

## Key Responsibilities

- Design, develop, and deploy enterprise Generative AI solutions leveraging AWS Bedrock and Anthropic Claude models.

- Build advanced conversational AI, summarization, document intelligence, and knowledge retrieval solutions using Claude APIs and Bedrock-hosted foundation models.

- Develop and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, semantic search, and prompt orchestration frameworks.

- Engineer scalable AI and ML workflows within Databricks using Delta Lake, Apache Spark, MLflow, and Lakehouse architectures.

- Develop prompt engineering strategies, AI guardrails, context management, and response evaluation frameworks for enterprise AI applications.

- Integrate structured and unstructured clinical, research, regulatory, and commercial datasets into AI-driven solutions.

- Build APIs and microservices to operationalize AI capabilities across enterprise applications and workflows.

- Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, observability, and lifecycle management.

- Collaborate with cybersecurity and governance teams to ensure secure, compliant, and responsible AI adoption aligned with HIPAA, GxP, and enterprise data governance standards.

- Optimize AI workloads for performance, scalability, resiliency, and cost efficiency within AWS cloud environments.

- Contribute to enterprise AI architecture standards, reusable AI frameworks, and innovation initiatives.

## Required Qualifications

- Bachelor's or master's degree in computer science, Data Science, Engineering, or related discipline.

- 8+ years of experience in software engineering, AI engineering, machine learning, or cloud data platforms.

- Strong hands-on experience with AWS Bedrock and Anthropic Claude models in enterprise environments.

- Experience building GenAI applications using Claude for conversational AI, intelligent document processing, summarization, and enterprise search use cases.

- Expertise with prompt engineering, prompt chaining, context window optimization, and RAG implementation patterns.

- Experience with Databricks Lakehouse Platform, Delta Lake, Apache Spark, and MLflow.

- Strong programming skills in Python and experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.

- Experience integrating vector databases and semantic search technologies.

- Strong understanding of AWS-native cloud architectures and AI services.

- Experience with REST APIs, microservices, CI/CD pipelines, containerization, and infrastructure automation.

- Familiarity with AI governance, security controls, and responsible AI practices.

- Experience working in regulated industries such as healthcare, life sciences, or pharmaceuticals preferred.

## Preferred Skills

- Experience with clinical, genomics, pharmaceutical, or regulatory datasets.

- Knowledge of AI agent frameworks and autonomous workflow orchestration.

- Experience implementing secure enterprise AI solutions with guardrails and model evaluation frameworks.

- Familiarity with Snowflake, Redshift, or cloud data modernization initiatives.

- AWS Certifications and/or Databricks certifications preferred.

## Technical Environment

- AWS Bedrock

- Anthropic Claude

- Databricks Lakehouse Platform

- Python / PySpark

- MLflow

- LangChain / LlamaIndex

- Vector Databases

- Delta Lake

- AWS Lambda, ECS, EKS, S3, SageMaker

- GitHub, Terraform, CI/CD Pipelines

- REST APIs & Microservices

## Success Criteria

- Deliver secure and scalable enterprise AI solutions leveraging Claude and AWS Bedrock.

- Accelerate adoption of Generative AI capabilities across research, clinical, and business operations.

- Establish reusable AI engineering frameworks and LLMOps standards.

- Improve data accessibility, operational efficiency, and AI governance maturity across the enterprise.

## Industry/Sector

Not Applicable

## Specialism

Data Science

## Management Level

Manager

## Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

## The Opportunity

As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions.

## Responsibilities

- Mentor junior engineers and foster their growth

- Maintain security and scalability of AI-powered solutions

- Collaborate with cross-functional teams to achieve project goals

- Stay at the forefront of technological advancements in AI

## What You Must Have

- Bachelor's Degree

- At least 6 years of experience in software, platform, or cloud engineering, including people leadership

- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

## What Sets You Apart

- Master's Degree preferred

- Demonstrating proven experience leading cloud and platform engineering teams

- Offering hands-on experience with Azure, DevOps, and enterprise integration patterns

- Bringing systems thinking to design end-to-end platforms

- Coaching and mentoring engineers to foster a culture of excellence

- Managing delivery plans, dependencies, and risks effectively

- Operating production platforms with a focus on reliability and security

- Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities

- Defining and enforcing automated testing strategies

- Architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line)

- Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy

## Travel Requirements

Up to 20%

## Compensation and Benefits

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

## Equal Opportunity and Work Authorization

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

## Application Note

To make sure your application is considered, please submit it before the end of the day on 05.06.2026. We encourage candidates to apply as soon as possible.

## Role Overview

Shape the AI foundation of one of Europe’s leading energy companies—defining how agentic systems are designed, governed, and scaled for mission-critical impact. Equinor is building the foundation for enterprise-scale agentic AI, and this role offers a unique opportunity to set direction at company scale. You will define architecture and guide the delivery of agent and LLM-powered products that reshape how insight is generated, workflows are automated, and decisions are supported across engineering, operations, HSE, supply chain, and corporate functions.

## Key Tasks

- Define and evolve the enterprise reference architecture for agentic and generative AI, establishing the standards, decision principles, and guardrails that will shape how these capabilities scale across Equinor.

- Partner with AI and ML engineering teams to deliver production-grade agentic systems: orchestration, grounded retrieval, structured LLM integrations with enterprise APIs, MCP-based tool/data access, and multimodal document understanding.

- Lead solution strategy, technology choices, and architectural blueprints; align senior stakeholders, engineering teams, and strategic partners; and provide technical leadership from early concept through scaled deployment.

- Embed safety, compliance, and privacy by design; align with GDPR and the EU AI Act; enforce policy as code and safe tool execution; and manage uncertainty in non-deterministic systems by surfacing confidence, bounding autonomy, routing to human oversight, and providing safe fallback and rollback paths.

- Raise engineering quality and long-term capability by driving performance, reliability, and cost efficiency while mentoring others and building reusable foundations for future AI solutions.

## What We Expect

At Equinor, there are some overall qualities we regard as essential. We want you to identify with the values that guide our decisions and help us succeed and grow: open, collaborative, courageous and caring. We expect you to make safety your priority and to contribute to our zero-harm culture.

## Required Qualifications

Master’s or PhD in Computer Science, Data Science, Machine Learning, Linguistics, or related field. Deep architectural experience across data, model, and application layers, with strong judgment on trade-offs, scalability, risk, and compliance in enterprise AI systems. Proven leadership in navigating ambiguity, shaping technical direction, aligning senior stakeholders, and translating AI strategy into business-aligned execution. Hands-on experience with modern LLMs and agent frameworks (e.g., LangGraph, AutoGen, LangChain/LlamaIndex, Semantic Kernel). NLP and generative AI expertise, including prompt design, RAG architectures, model evaluation, and practical experience with major LLM providers and open-source models. Solid Python and software engineering fundamentals (testing, CI/CD, version control). A strong track record of delivering end-to-end AI solutions from concept to measurable business value.

## Preferred Qualifications

Recognized thought leadership through mentoring, publishing, speaking, patents, or stewardship of influential open-source initiatives. Multimodal AI: document and image understanding, diagram Q&A, speech-to-text (e.g. Whisper). Responsible AI: PII handling, red-teaming, content moderation, risk assessment, regulatory compliance. Containers and cloud: Docker, Kubernetes; Azure (Azure ML, AKS, Azure OpenAI, storage, networking). Enterprise integration: APIs, events/messaging, standardised data and tool access via MCP.

## Why Join Us?

If you are motivated by the chance to shape enterprise AI at scale, solve technically demanding problems with real-world consequence, and leave a lasting mark on how a major energy company applies AI responsibly, we would love to hear from you.

## What We Offer

We want you to have a rewarding and fulfilling work life. That’s why we offer:

### Not Just a Job - a Career

In Equinor, your development begins on day one. You will build your competence through a wide range of learning activities while being empowered to build your career across multiple disciplines and geographies. Our internal job market allows a wide range of opportunities for development and growth within your own field, or even in other areas you find interesting and relevant.

### Attractive Rewards

We give you a comprehensive benefits package with a competitive salary, global parental leave, bonus scheme and pension plan.

### Wellness and Work-Life Balance

We care about and prioritise our employees’ well-being. We know that for you to be the best version of yourself in the workplace, being able to collect your children, attend a class or simply enjoy social time can be invaluable. That’s why we encourage you to make use of our flexible work arrangements wherever possible.

### Inclusive Culture

We believe embracing our differences makes us stronger. For us, true inclusion means being able to bring your whole self to work, and for you and everyone else to feel accepted and valued.

### Equal Opportunities

Equinor is an equal-opportunity employer. We make all employment decisions, which include hiring, promotion, transfer, demotion, termination, and training, without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, parental status, veteran status, or any other protected status. As part of this commitment, reasonable adjustments will be made during the recruitment process for candidates with disabilities or long-term health conditions. If you have any specific requirements, please clarify this in your application and our team will be in contact to see how we can support your needs.

## Important Notes About the Application Process

We expect you to openly offer all relevant information about yourself during the recruitment process. Background checks are performed on all final candidates, and all permanent and temporary hires will be screened using relevant sanctions lists to ensure compliance with sanctions laws. When applying for a job in Norway you will be asked for information on affiliation to high-risk countries for a security assessment.

## About Equinor

Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We’re up for the challenge. Are you? Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We’re up for the challenge. Are you?

## Job Description

We are looking for an experienced and innovative Senior AI – Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This individual contributor role focuses on designing, developing, and deploying production‑grade computer vision solutions across Oxy, supporting a wide range of industrial, operational, and subsurface use cases.

## Essential Job Responsibilities

- Design and select appropriate computer vision model architectures for classification, detection, segmentation, and object tracking

- Work with classification architectures such as ResNet, VGG, EfficientNet, and MobileNet, and segmentation architectures such as U‑Net

- Build, train, fine‑tune, and optimize models using Ultralytics YOLO for object detection and segmentation (required)

- Develop deep learning models using PyTorch and TensorFlow

- Lead research and development (R&D) efforts to evaluate, prototype, and adopt state‑of‑the‑art (SOTA) computer vision models and techniques where they provide business or operational value

- Stay current with advances in computer vision research, including new architectures, training methods, and foundation models, and translate relevant innovations into practical solutions

- Leverage Hugging Face for pretrained backbones, model assets, and rapid experimentation

- Apply Vision‑Language Models (VLMs) to multimodal computer vision workflows (e.g., OCR, image‑to‑text, prompt‑driven visual understanding)

- Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools

- Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural interpretation

- Optimize computationally heavy training and inference workloads, including GPU utilization, memory efficiency, and throughput/latency tradeoffs

- Work with GPU‑accelerated environments (CUDA‑enabled frameworks) and AWS‑based ML infrastructure, including Amazon SageMaker when appropriate

- Collaborate closely with cross‑functional teams (AI platform, software engineering, domain experts) and mentor junior engineers

- Communicate technical findings, experimental results, and recommendations clearly through presentations, demos, and written documentation

## Qualifications

- Master's Degree in Computer Science or a related technical field required.

- 6+ years of hands‑on experience in computer vision or applied deep learning.

- Excellent Python skills (required), including writing clean, efficient, production‑ready code

- Strong experience with PyTorch, TensorFlow, CNN‑based architectures, transformers, and Vision‑Language Models

- Ultralytics YOLO experience required, including training and tuning on real‑world datasets

- Practical familiarity with Hugging Face and Roboflow

- Experience working with GPU‑accelerated workloads and CUDA‑enabled deep learning frameworks

- Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances

- Strong experience working in Linux environments

- Excellent teamwork, communication, and presentation skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences

- Demonstrated contributions to computer vision research, including peer‑reviewed publications, conference papers, or equivalent applied research output

## Work Authorization

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

## Job Description

Specialty/Competency: IFS - Risk & Quality (R&Q)

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

Those in enterprise risk management at PwC will focus on identifying and mitigating potential risks that could impact an organisation's operations and objectives. You will be responsible for developing business strategies to effectively manage and navigate risks in a rapidly changing business environment.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

## Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

- Craft and convey clear, impactful and engaging messages that tell a holistic story.

- Apply systems thinking to identify underlying problems and/or opportunities.

- Validate outcomes with clients, share alternative perspectives, and act on client feedback.

- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.

- Deepen and evolve your expertise with a focus on staying relevant.

- Initiate open and honest coaching conversations at all levels.

- Make difficult decisions and take action to resolve issues hindering team effectiveness.

- Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

## The Opportunity

As part of the Cyber, Privacy, Data & AI Risk team you will provide specialist assistance across cybersecurity, privacy, data, and AI risk. As a Senior Manager you will support the firm’s AI Governance Program development and manage risk while enabling major firm-wide AI transformation initiatives. This position allows for significant engagement with senior stakeholders and the opportunity to drive process enhancements in a rapidly evolving environment.

## Responsibilities

- Provide specialized support in cybersecurity, privacy, data, and AI risk

- Analyze and assess evolving risks in a dynamic environment

- Work with cross-functional teams to enhance risk management

- Develop strategies to mitigate potential cybersecurity threats

- Communicate effectively to promote alignment on risk initiatives

## What You Must Have

- High School Diploma

- At least 6 years of cybersecurity, privacy, data governance, or AI risk management

## What Sets You Apart

- Bachelor's Degree preferred

- Demonstrating in-depth abilities as a team leader

- Providing strategic risk management for AI initiatives

- Assisting in governance efforts for AI programs

- Delivering specialist risk management advice across domains

- Staying current on industry trends and emerging risks

- Managing multiple priorities in a fast-paced environment

- Taking a cooperative approach with relationship-building capabilities

- Having a self-starter mentality with a drive for enhancement

## Compensation and Benefits

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

## Equal Opportunity and Work Authorization

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

## Job Description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

AI ENGINEER, PLATFORM INFRASTRUCTURE, SPECIAL PROGRAMS

As an AI Engineer, Platform Infrastructure you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof.

## Responsibilities

- Design and build the deployment generator.

- Create and maintain platform documentation.

- Build the bundle pipeline.

- Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.

- Build and maintain the cross-profile CI matrix.

- Build the testing and validation framework.

- Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.

- Own the monitoring stack migration.

## Basic Qualifications

- Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline.

- 1+ years of experience in Go Lang and/or Python.

- 1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications.

## Preferred Skills And Experience

- Ability to obtain and maintain a Top Secret or Top Secret SCI clearance.

- Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent).

- Familiarity with container image management.

- Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs.

- Understanding of Linux systems.

- Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged.

- Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking.

- Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies.

- Own the bare metal provisioning pipeline.

## Additional Requirements

- Must be willing to work extended hours and weekends as needed.

- 20% travel may be required to government sites.

- This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.

## Compensation And Benefits

Pay range:

AI Engineer: $125,000.00 - $220,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

## ITAR Requirements

- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

## Job Details

Job Title: Project Manager with AI

Location: Houston, TX

Onsite Role Need local Candidates

## Role Summary

We are seeking an experienced Project Manager with strong AI/ML project delivery expertise to manage and drive end-to-end execution of AI-driven initiatives for Juniper Networks. The ideal candidate should have experience managing cross-functional teams, AI/ML implementations, data-driven projects, and enterprise technology programs.

The candidate will work closely with engineering, product, data science, infrastructure, and business stakeholders to ensure successful delivery of AI-based solutions aligned with business objectives.

## Key Responsibilities

- Lead and manage AI/ML and enterprise technology projects from initiation to closure.

- Coordinate with cross-functional teams including Data Science, Engineering, Cloud, and Product teams.

- Define project scope, timelines, deliverables, resource planning, and risk management strategies.

- Manage Agile/Scrum ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming.

- Track project progress, dependencies, and stakeholder communication.

- Drive AI adoption initiatives and ensure alignment with business goals.

- Work with technical teams on AI/ML model deployment, automation, analytics, and cloud-based AI solutions.

- Prepare project status reports, dashboards, and executive-level presentations.

- Identify project risks/issues and implement mitigation plans proactively.

- Ensure projects are delivered on time, within scope, and within budget.

## Required Skills

- 8+ years of Project Management experience in IT/Technology environments.

- Strong experience managing AI/ML, Data Analytics, or Automation projects.

- Hands-on experience with Agile/Scrum methodologies.

- Knowledge of AI/ML lifecycle, Generative AI, NLP, or predictive analytics projects.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Excellent stakeholder management and communication skills.

- Experience using Jira, Confluence, MS Project, or similar tools.

- Strong understanding of SDLC and enterprise application delivery.

- Ability to manage distributed/global teams.

## Preferred Qualifications

- PMP / Scrum Master certification preferred.

- Experience in Networking, Telecom, or Infrastructure domain is a plus.

- Exposure to AI tools such as OpenAI, TensorFlow, PyTorch, or ML Ops platforms is preferred.

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.

## Nice To Have

- Experience working with enterprise networking environments.

- Knowledge of GenAI use cases and AI governance frameworks.

- Prior experience working with large enterprise clients.

## Job Description

Join Sigma.AI - Shaping the Future of Artificial Intelligence

## What is Sigma?

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.

## Soft Skills We Value

Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?

If so, we'd love to hear from you!

## What Will You Do?

As part of our linguistic projects, your responsibilities may include:

Categorization - Annotation - Correction - Transcription - Evaluation - Conversational interactions - Voice recording - Content creation - Localization - Validation of audio, video, images, sentences, or words.

All tasks are remote, performed through an online platform available 24/7.

This opportunity is offered for freelancers under a commercial contract.

## Requirements

We are looking for candidates with the following qualifications:

- Fluent in Ntcham - Able to listen and write correctly without spelling mistakes

- Fluent in English - Able to listen and write correctly without spelling mistakes

- Basic computer skills

## Preferred Qualifications

- Experience in data annotation or content rating

- Strong attention to detail

## Technical Requirements

To participate in our projects, you will need:

### Computer

- Minimum 4GB RAM

- Microphone and webcam

- Operating system:

- Windows 10 or higher

- macOS 13 Ventura or higher

- All OS updates installed and supported by the vendor

### Connectivity & Accessories

- Stable internet connection

- Headphones

- Secure internet location, protected by a strong password

### Audio-Collection Projects

- Mobile phone with Android OS

- Tablets and iOS devices are not supported

## How to Apply

If you're interested, click "APPLY FOR THIS JOB" and follow the instructions.

After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.

Check your inbox and spam folder, just in case!

## Important Notes

- Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.

- The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

## Need Help?

We're here for any questions or concerns.

Join us and be part of something global, innovative, and impactful.

Sigma.AI - Data done right.

Department: Annotation & Translation

Locations: United States, Togo, Ghana

Remote status: Fully Remote

Employment type: Temporary

## Job Description

Position at GVW Group, LLC

GVW Group is a privately held, entrepreneurial industrial and investment holding company that invests in and scales businesses that disrupt legacy industries. We operate with a relentless focus on customer-centric innovation, strategic discipline, and operational excellence. GVW grows companies and invests across manufacturing, logistics, technology, and services, all while embodying a culture where loyalty, results, and ownership drive everything we do for the next 1000 years.

## Job Overview

The Research & AI Operations Associate role is designed to extend the effectiveness of a senior operator working across businesses, investments, and strategic initiatives.

The focus is on high-quality research, structured analysis, and building AI-driven workflows that create leverage and speed.

You will act as a force multiplier. Your output should reduce decision time, improve clarity, and uncover non-obvious opportunities.

## Expected Outcomes

### Research and Intelligence

- Conduct deep research on industries, companies, markets, and technologies

- Synthesize large volumes of information into clear, decision-ready insights

- Identify trends, risks, and asymmetric opportunities

- Build and maintain internal knowledge systems

### Analysis and Decision Support

- Structure ambiguous problems into clear frameworks

- Build simple models, comparisons, and scenario analyses

- Pressure-test assumptions and surface second-order effects

- Deliver concise briefs with clear recommendations

### AI Systems and Workflow Automation

- Design, build, and maintain AI agents to automate recurring workflows

- Identify high-leverage opportunities for automation across operations and investments

- Integrate tools (e.g., APIs, no-code/low-code platforms, LLM tools) into usable systems

- Continuously improve prompt design, workflows, and outputs

### Execution and Operational Support

- Assist in executing strategic initiatives across multiple projects

- Track key priorities, deadlines, and follow-ups

- Prepare materials for meetings, decisions, and external communication

- Act as a reliable second brain for ongoing workstreams

### Information Management

- Organize research, notes, and outputs into structured, retrievable systems

- Maintain clean documentation of processes and insights

- Ensure continuity and institutional memory

## Required Skills and Traits

### Analytical Ability

- Strong structured thinking

- Ability to break down complex topics quickly

- Comfortable working with incomplete information

### Research Depth

- Skilled at finding high-quality, non-obvious sources

- Able to distinguish signal from noise

- Fast synthesis without losing accuracy

### AI Fluency

- Hands-on experience with LLMs and AI tools

- Understanding of prompt engineering and agent workflows

- Comfortable experimenting with new tools and frameworks

### Technical Skills

- Basic scripting (Python or similar)

- Familiarity with APIs, automation tools, or data tools

- Experience with no-code/low-code platforms

### Communication

- Clear, concise written communication

- Ability to present insights in a structured format

- Strong interpersonal skills and responsiveness

### Work Style

- High ownership and accountability

- Fast execution with attention to detail

- Low ego, high curiosity

- Comfortable operating in unstructured environments

## Output Expectations

- Briefs are concise, structured, and decision-focused

- Research goes beyond surface-level summaries

- AI workflows reduce manual work and improve speed

- Communication is clear, direct, and actionable

## What Success Looks Like

- Decision-making becomes faster and better informed

- Repetitive work is increasingly automated

- Insights consistently surface opportunities others miss

- The role scales output without increasing complexity

## Candidate Profile

- Early career (0–3 years experience) or exceptional recent graduate

- Demonstrated track record of independent projects or research

- Strong interest in business, investing, and technology

- Evidence of building or experimenting with AI tools

## Location

Miami, Florida — In-office presence required daily; travel expected as needed.

## What We Offer

- Competitive compensation includes a base salary, performance bonus, and full benefits.

- Direct access to C-level strategic decision-making and transformative projects.

- Mentorship from a seasoned entrepreneur and exposure to company-building at the highest level.

- A culture that values outcomes over optics, loyalty over politics, and boldness over bureaucracy.

## The Bottom Line

If you're someone who is naturally proactive, thrives in intensity, who wants to move fast and execute hard, and who is humble enough to ask, but strong enough to lead - this role will put you in the center of gravity of a growing portfolio of companies and investments.

If you’re looking for impact, intensity, and influence, this is where it all converges. The Chairman’s priorities are your North Star - every day, without exception.

GVW Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

## Physical Requirements

 Capable of wearing personal protective equipment which may include safety shoes, gloves, safety glasses, and ear protection.

Capable of meeting OSHA standards for manual lifting guidelines: Ability to stand, sit, and/or walk for extended periods.

AI Engineer – Remote | $40 –$50/hr

Zero to AI Engineer