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Add an MLOps engineer to your team — model deployment, Kubernetes, pipeline orchestration, and production observability. Every profile is manually reviewed. Direct contact, no agency.

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Stijn

Stijn

Junior
Netherlands — Amsterdam (UTC+2) Contract, Freelance
AI & Machine Learning Engineers data science & analytics
python javascript sql r ai +5
Open profile
Teddy

Teddy

Senior
Cambodia — Phnom Penh (UTC+7) Contract, Freelance
MLOps ml (machine learning)
python docker pyspark kubernetes aws +5
Open profile
Uriel

Uriel

Senior
Canada — Toronto (UTC-4) Full Time, Part Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow pytorch langchain docker +4
Open profile
Jahir

Jahir

Mid-Level
India — Kolkata (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python reinforcement learning hugging face numpy pandas +5
Open profile
Tameeem

Tameeem

Mid-Level
Pakistan — Karachi (UTC+5) Contract-to-hire, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
llm fine-tuning hugging face python pytorch openai api +5
Open profile
Gulshat

Gulshat

Senior
Cyprus — Nicosia (UTC+3) Full-time
NLP & Prompt Engineering AI & Machine Learning Engineers
python pytorch scikit-learn openai api hugging face +5
Open profile
Yash

Yash

Mid-Level
Ireland — Dublin (UTC+1) Full-time, Part-time
AI & Machine Learning Engineers Automation & AI Workflows
python ai agents etl ci/cd
Open profile
Tanmay

Tanmay

Mid-Level
India — Kolkata (UTC+5.5) Freelance, Part-time
AI Business, Marketing & Strategy Automation & AI Workflows
prompt engineering openai api python power bi reinforcement learning
Open profile
Yash

Yash

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch tensorflow scikit-learn
Open profile
Sergi

Sergi

Senior
Spain — Madrid (UTC+2) Full-time, Contract
AI & Machine Learning Engineers Automation & AI Workflows
tensorflow computer vision python reinforcement learning ci/cd +2
Open profile

Category guide

Find Vetted MLOps Engineers for Your Team

Why hire MLOps & AI Infrastructure experts?

In the era of generative AI, owning a model is no longer enough. The real challenge is deployment, monitoring, reliability, and scale. MLOps and AI infrastructure specialists bring the engineering discipline needed to run production AI systems with Kubernetes, CI/CD pipelines, model versioning, observability, and better GPU cost control.

Verified profiles for critical AI systems

Each MLOps profile on RemoteAI is selected for the ability to build stable, observable, and production-ready platforms. Whether your stack depends on AWS, SageMaker, MLflow, or internal tooling, these professionals help make AI systems dependable over time. If you also want to improve the model experience itself, browse our NLP & Prompt Engineering experts.

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