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Part Time Mlops Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Experience deploying AI applications using modern MLOps practices. * Experience evaluating and benchmarking LLM performance. What We Offer * Competitive compensation. * Flexible part-time schedule.

Implicit

AI Engineer (US-Based / Part-Time)

Experience deploying AI applications using modern MLOps practices. * Experience evaluating and benchmarking LLM performance. What We Offer * Competitive compensation. * Flexible part-time schedule.

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC

$30 - $39/hr

... MLOps) pathway. This pathway will bridge ongoing work in computer vision and embedded software ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

You will contribute end-to-end, spanning data processing, model development, MLOps, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Experience with MLOps practices including CI/CD for ML, model versioning, monitoring, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

Weekday AI

Insurance Underwriting AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Experience with AI model deployment and MLOps practices. * Knowledge of regulatory frameworks ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

TripleTen

$152K/yr

An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their ...

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Part Time Mlops information

What is a part time MLOps job?

Part-time MLOps jobs involve working reduced hours on tasks related to machine learning operations. MLOps professionals help manage and automate the deployment, monitoring, and maintenance of machine learning models in production environments. These roles may include responsibilities like setting up CI/CD pipelines for ML models, managing cloud infrastructure, monitoring model performance, and collaborating with data scientists. Part-time roles are ideal for those seeking flexible work schedules or supplementary income while still contributing to the development and operationalization of AI solutions.

What are the key skills and qualifications needed to thrive as a part time MLOps engineer?

To thrive as a Part Time MLOps Engineer, you need a solid background in machine learning concepts, software engineering, and cloud infrastructure, often supported by a relevant degree or certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP is essential. Strong problem-solving, collaboration, and communication skills help you work effectively with data scientists and developers. Mastery of these areas ensures the efficient deployment, scaling, and maintenance of machine learning models in production environments.

What are some common challenges faced by part time MLOps professionals, and how can they be managed effectively?

Part-time MLOps professionals often face the challenge of balancing project continuity with limited working hours. Coordination with full-time data scientists and engineers can be demanding, especially when aligning on deployment schedules or troubleshooting issues. To manage these challenges, clear communication, thorough documentation, and use of collaborative tools are crucial. Regular check-ins with the team and setting realistic expectations for deliverables can also help ensure smooth workflow and project progress.

What is the difference between Part Time Mlops vs Data Engineer?

AspectPart Time MlopsData Engineer
CredentialsRelevant certifications in MLOps, cloud platforms, programmingData management, SQL, cloud certifications
Work EnvironmentRemote or flexible, project-basedOffice or remote, infrastructure-focused
Industry UsageAI/ML projects, deployment pipelinesData pipelines, database management
Search & Comparison IntentUnderstanding MLOps roles, part-time opportunitiesData infrastructure, engineering roles

Part Time Mlops roles focus on deploying and maintaining machine learning models, often requiring cloud and automation skills, while Data Engineers build and manage data pipelines and infrastructure. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

Is part time MLOps in high demand?

Part-time MLOps roles are increasingly in demand as companies seek flexible expertise to manage machine learning deployment, automation, and infrastructure. Skills in cloud platforms, containerization, and CI/CD tools enhance employability in this field, which is growing alongside the broader AI and data science industries.
More about Part Time Mlops jobs

What cities are hiring for Part Time Mlops jobs?

Cities with the most Part Time Mlops job openings:

What are the most commonly searched types of Mlops jobs?

The most popular types of Mlops jobs are:

What job categories do people searching Part Time Mlops jobs look for?

The top searched job categories for Part Time Mlops jobs are:

Part Time Mlops jobs near you
Infographic showing various Part Time Mlops job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution.

AI Engineer (US-Based / Part-Time)

Remote

Implicit
IT Services • 1 - 10 employees
Learn more about Implicitexternal

Part-time

Re-posted 26 days ago

Job description

Applied AI Engineer (Part-Time, Remote - U.S.)
Innovation is at the heart of what we do.
At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.
We're looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You'll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.
What You'll Do
  • Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.
  • Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.
  • Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.
  • Build and optimize production AI services using Python and modern AI frameworks.
  • Work with agentic development tools including Cursor, Codex and AI-assisted coding workflows.
  • Write clean, maintainable, well-tested code with a strong focus on quality and reliability.
  • Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.
  • Evaluate emerging AI models, tools, and techniques to continuously improve the platform.
Required Qualifications
  • 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.
  • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
  • Solid understanding of NLP, machine learning, and modern deep learning techniques.
  • Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Strong Python development skills and experience building production software.
  • Experience working with APIs, vector databases, and AI application frameworks.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred Qualifications
  • Experience building AI systems for enterprise knowledge management or technical documentation.
  • Experience with AI agents, tool calling, and agentic workflows.
  • Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.
  • Experience deploying AI applications using modern MLOps practices.
  • Experience evaluating and benchmarking LLM performance.
What We Offer
  • Competitive compensation.
  • Flexible part-time schedule.
  • Remote work within the United States.
  • Flexible vacation policy.
  • Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems.

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