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Part Time Mlops Engineer Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Experience deploying AI applications using modern MLOps practices. * Experience evaluating and ...

Implicit

AI Engineer (US-Based / Part-Time)

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Experience deploying AI applications using modern MLOps practices. * Experience evaluating and ...

Booz Allen Hamilton, Inc.

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

... MLOps engineers to deliver world class solutions, including processing data and information at a ... 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, 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 ...

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 ...

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 ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site +1

$86K - $198K/yr

Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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.

Data Engineer

Colorado Springs, CO · On-site +1

$61K - $141K/yr

Experience working in an Agile engineering environment and supporting MLOps pipelines * Master ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Mlops Engineer information

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

AspectPart Time Mlops EngineerPart Time Data Scientist
Required CredentialsCertifications in cloud platforms, ML pipelines, scriptingStatistics, programming, data analysis certifications
Work EnvironmentCloud environments, DevOps tools, ML deploymentData analysis platforms, research environments
Employer & Industry UsageTech companies, startups, AI firmsResearch institutions, tech companies, finance

Part Time Mlops Engineers focus on deploying, maintaining, and optimizing machine learning models in production environments, often working with cloud and DevOps tools. In contrast, Part Time Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles require technical skills, MLOps emphasizes deployment and operationalization, whereas Data Science centers on analysis and modeling.

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Part Time Mlops Engineer jobs near you
Infographic showing various Part Time Mlops Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AI Engineer (US-Based / Part-Time)

Remote

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

Part-time

Re-posted 28 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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