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Mlops Junior Jobs in Raleigh, NC (NOW HIRING)

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

... 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 ...

Sr AI/ML Engineer

Durham, NC · Hybrid

$180K - $220K/yr

... 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 ...

... junior engineer you are accountable for, never an oracle. • Integrate third-party APIs and ... monitoring, and MLOps practices that keep production models reliable over time. • Experience ...

Mlops Junior information

See Raleigh, NC salary details

$7

$26

$46

How much do mlops junior jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for mlops junior in Raleigh, NC is $26.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $32.26 per hour, depending on experience, location, and employer.

What is an MLOps junior?

MLOps Junior roles focus on supporting the deployment, maintenance, and monitoring of machine learning models in production environments. As a junior professional, you typically assist in automating workflows, managing data pipelines, and collaborating with data scientists and engineers. Responsibilities often include configuring cloud resources, setting up CI/CD pipelines, and ensuring models run smoothly after deployment. It's an entry-level position that helps bridge the gap between data science and operations, providing hands-on experience with machine learning infrastructure.

What are the key skills and qualifications needed to thrive as an MLOps junior?

To thrive as an MLOps Junior, you need a solid understanding of machine learning principles, programming in Python, and knowledge of software development practices, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), containerization tools (like Docker), CI/CD pipelines, and version control systems (like Git) is typically required. Strong problem-solving, collaboration, and a willingness to learn stand out as soft skills in this role. These skills and qualities are crucial for efficiently deploying, maintaining, and scaling machine learning models in real-world production environments.

What are some common challenges faced by a junior MLOps professional in their first year, and how can they overcome them?

As a Junior MLOps professional, one of the main challenges is bridging the gap between data science and engineering practices, particularly when deploying machine learning models to production. You may encounter issues like automating model pipelines, managing dependencies, and ensuring reproducibility. Collaborating closely with data scientists, software engineers, and DevOps teams is essential for learning best practices and troubleshooting problems efficiently. Proactively seeking mentorship, participating in code reviews, and familiarizing yourself with popular MLOps tools (such as Docker, Kubernetes, and CI/CD platforms) can greatly accelerate your growth and confidence in the role.

What is the difference between Mlops Junior vs Data Engineer?

AspectMlops JuniorData Engineer
Required CredentialsBasic understanding of ML workflows, some certifications preferredDegree in Computer Science or related field, certifications in data management
Work EnvironmentCollaborates with data scientists and ML engineers in tech companiesWorks on data pipelines, storage, and processing systems in various industries
Industry UsageEmerging role in AI/ML teams, startups, and tech firmsEstablished role across finance, healthcare, tech, and more

The comparison shows that Mlops Junior and Data Engineer roles share some technical foundations but differ mainly in focus. Mlops Junior emphasizes deploying and maintaining ML models, while Data Engineers focus on building data infrastructure. Both roles are vital in data-driven organizations, with Mlops Junior often working closely with Data Engineers to ensure smooth ML operations.

Is MLOps a good career choice in 2026?

MLOps Junior roles are expected to remain in demand in 2026 due to the growing adoption of machine learning and AI across industries. These roles typically require skills in cloud platforms, automation, and tools like Docker and Kubernetes, making them a promising career path for those interested in AI deployment and infrastructure. Continuous learning and certification in relevant technologies can enhance job prospects in this field.

Is MLOps in high demand?

MLOps junior roles are in high demand as organizations increasingly adopt machine learning and AI solutions. These positions require skills in cloud platforms, automation, and tools like Docker and Kubernetes, reflecting the growing need for efficient deployment and management of ML models across industries.

What are the most commonly searched types of Mlops jobs in Raleigh, NC?

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For Mlops Junior jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Mlops Junior jobs in Raleigh, NC are:

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Cities near Raleigh, NC with the most Mlops Junior job openings:

Sr AI/ML Engineer

TEKsystems

Durham, NC • Hybrid

$180K - $220K/yr

Full-time

Medical

Posted 21 days ago


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.


TEKsystems logo

About TEKsystems

Sourced by ZipRecruiter

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.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MD, US