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Python Ai Ml Jobs in Raleigh, NC (NOW HIRING)

Sr AI/ML Engineer

Durham, NC · On-site

$180K - $220K/yr

MLOps CI/CD, monitoring, evaluation, and cost management; strong Python. Description The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by ...

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Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

... strong Python. Description The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt ...

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

... strong Python. Description The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt ...

AI ML Data Scientist

Cary, NC · On-site

$100 - $120/hr

AI ML Data Scientist Must Have Technical/Functional Skills * Machine Learning techniques ... Python - Pandas, Numpy, sklearn, PyOdbc * R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc

ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data ... Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ...

USC / GC Only ✅ Must-Have Qualifications: ✔ 8-10+ years of experience in AI/ML, Software ... in Python, FastAPI, asynchronous programming, and microservices architecture ✔ Hands-on ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Strong coding and automation skills in Python, Bash, or similar scripting languages. * Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems. * Proficiency ...

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Python Ai Ml information

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How much do python ai ml jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python ai ml in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What are popular job titles related to Python Ai Ml jobs in Raleigh, NC? For Python Ai Ml jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Python Ai Ml jobs? Cities near Raleigh, NC with the most Python Ai Ml job openings:
Infographic showing various Python Ai Ml job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $118,528 per year, or $57 per hour.

$180K - $220K/yr

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Job description

Top Skills' Details Microsoft Foundry (Azure AI Foundry) hands-on experience with the model catalog, Foundry Agent Service, evaluation, and deployment.
Azure AI production experience with Azure AI services / Azure OpenAI and LLM/RAG architectures.
MCP, RAG & LLMs demonstrated experience with the Model Context Protocol (MCP), retrieval-augmented generation, and prompt engineering.
Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts).
MLOps CI/CD, monitoring, evaluation, and cost management; strong Python.
Description
The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one Senior role. Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack-grounded in governed Microsoft Fabric and One Lake data-this role builds, deploys, monitors, and continuously improves production AI features such as search, personalization, content generation, and internal copilots, reducing reliance on high-cost consulting. The role may initially be proven through consulting support and then internalized once the approach is established.
ESSENTIAL FUNCTIONS:
Production of AI Capability
Build and deploy production AI features; search, personalization, content generation, and internal copilots on Microsoft Foundry (Azure AI Foundry).
Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context Protocol (MCP) to connect models to data and tools.
Develop and tune prompts, retrieval strategies, and agent workflows via the Foundry Agent Service and model catalog.
MLOps Foundation
Establish deployment, monitoring, evaluation, and cost-management practices around AI projects - recognizing AI products require continual refinement, not set-and-forget delivery.
Implement CI/CD for AI artifacts, prompt/model versioning, and automated evaluation.
Partner with data engineering to keep Fabric/One Lake data AI-ready.
Risk Management & Guardrails
Implement guardrails, prompt-injection defenses, output validation, and PII handling.
Ensure technical controls stay aligned with Richemont's requirements and policies.
Document responsible-AI practices and model evaluations.
Collaboration & Mentorship
Work under AI Engineering Manager and partner with data science and data engineering on shared infrastructure.
Mentor junior engineers and contribute to the AI/ML specialization pathway.
Skills
Foundry, Azure OpenAI, LLM, RAG, Model Context Protocol (MCP), MLOps, Azure AI Services, microsoft fabric, python, CI/CD, OneLake
Top Skills Details
Foundry,Azure OpenAI,LLM,RAG,Model Context Protocol (MCP),MLOps
Additional Skills & Qualifications
5+ years in ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or personalization).
Hands-on Microsoft Foundry / Azure AI Foundry and Azure AI experience strongly preferred.
Experience with MCP, RAG, and LLM integration; strong prompt-engineering skills.
Familiarity with Microsoft Fabric / One Lake and governed data foundations.
Strong Python; solid MLOps and software-engineering fundamentals.
Bachelor's or Master's in Computer Science, Machine Learning, or related field; relevant Azure AI certifications a plus.
Experience Level
Expert Level
Job Type & Location
This is a Permanent position based out of Durham, NC.
Pay and Benefits
The pay range for this position is $180000.00 - $220000.00/yr.
Peter Millar provides a competitive corporate benefits package centered around comprehensive health coverage, unique apparel perks, and financial wellness
Workplace Type
This is a hybrid position in Durham,NC.
Application Deadline
This position is anticipated to close on Aug 19, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: 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.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.