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H

Henry Y.

Senior-level
Part Time
AI & Machine Learning Engineers
python tensorflow pytorch etl pipelines databricks +5
Open profile
H

Hariny S.

Entry-level
Full Time, Internship
AI & Machine Learning Engineers AI Business, Marketing & Strategy
python pytorch tensorflow computer vision marketing automation +5
Open profile
S

Sri D.

Mid-level
Freelance, Part Time
data science & analytics AI & Machine Learning Engineers
python tensorflow keras scikit-learn sql +5
Open profile
N

Naineshkumar L.

Entry-level
Full Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow pytorch reinforcement learning pandas +3
Open profile
K

Kofi A.

Mid-level
Full Time
data science & analytics AI & Machine Learning Engineers
python r pandas pytorch sql +3
Open profile
S

Sarthak

Entry-level
Full Time
AI & Machine Learning Engineers AI Product & Design
python sql rag tensorflow hugging face +5
Open profile
Muslim M.

Muslim M.

Entry-level
Part Time
AI & Machine Learning Engineers AI Product & Design
python langchain
Open profile
S

Saurav R.

Entry-level
Full Time
AI & Machine Learning Engineers
python langchain tensorflow computer vision numpy +4
Open profile
V

Vikram

Mid-level
Full Time
AI & Machine Learning Engineers AI Product & Design
python tensorflow chatgpt langchain rag +1
Open profile
S

Sabrine K.

Mid-level
Full Time
ai jobs ml (machine learning)
python google cloud platform (gcp) langchain langgraph vertex ai +5
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.