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Meet engineers who build, train, deploy, and optimize machine learning systems for real products and production workflows.

AI & ML Engineering Data Science & Analytics NLP & Prompt Engineering MLOps & AI Infrastructure Automation & AI Workflows

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Iñaki S.

Iñaki S.

Entry-level
Full Time, Contract
AI & Machine Learning Engineers Data Engineering & Big Data
python tensorflow scikit-learn keras pytorch
Open profile
Joshua J.

Joshua J.

Senior-level
Contract, Freelance
AI & Machine Learning Engineers data science & analytics
python sql docker tensorflow pytorch +1
Open profile
Soumyabrata B.

Soumyabrata B.

Mid-level
Full Time, Part Time
AI & Machine Learning Engineers
python pytorch scikit-learn tensorflow sql +4
Open profile
Mungati W.

Mungati W.

Mid-level
Full Time, Freelance
AI & Machine Learning Engineers MLOps & Industrialisation
python scikit-learn spark power bi chatgpt +2
Open profile
Abhishek

Abhishek

Senior-level
Part Time, Full Time
AI & Machine Learning Engineers Data Engineering & Big Data
python pytorch reinforcement learning tensorflow kafka +4
Open profile
Manish C.

Manish C.

Mid-level
Full Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow chatgpt langchain rag +5
Open profile
Asif E.

Asif E.

Mid-level
Part Time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch scikit-learn computer vision spark +2
Open profile
Fabricio L.

Fabricio L.

Senior-level
Full Time
AI & Machine Learning Engineers data science & analytics
python pytorch computer vision scikit-learn etl pipelines +3
Open profile
Dhruvi K.

Dhruvi K.

Entry-level
Freelance, Internship
AI & Machine Learning Engineers data science & analytics
python computer vision hugging face sql pytorch +4
Open profile
Arif H.

Arif H.

Entry-level
Full Time, Contract
AI & Machine Learning Engineers AI Product & Design
computer vision python tensorflow scikit-learn numpy +2
Open profile

Category guide

Hire AI & Machine Learning Engineers

Why hire AI & Machine Learning Engineers?

AI and machine learning engineers help companies turn promising experiments into usable products. They design training pipelines, production APIs, evaluation loops, and model-backed workflows that support real users, not just internal demos. If your team needs reliable ML systems, these are the profiles that bridge research and execution.

Hire verified talent for production AI work

RemoteAI helps companies review vetted engineers with practical experience across Python, PyTorch, TensorFlow, model deployment, and evaluation. If your roadmap also depends on stable infrastructure and serving, explore our MLOps & AI Infrastructure experts.