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Nakabayashi

Nakabayashi

Senior
United States — New York (UTC-4) Freelance
AI & Machine Learning Engineers data science & analytics
sql python tensorflow keras pytorch
Open profile
V

Vandana Pathania

Junior
United States — New York (UTC-4) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python sql tensorflow pytorch pandas +3
Open profile
Z

Zakaria

Junior
United Kingdom — London (UTC+1) Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch llamaindex computer vision llm fine-tuning
Open profile
M

Md Ammar

Mid-Level
India — Kolkata (UTC+5.5) Part-time, Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql pytorch computer vision
Open profile
M

Mohamed

Senior
Egypt — Cairo (UTC+3) Full-time, Contract
NLP & Prompt Engineering MLOps & AI Infrastructure
python rag langchain hugging face docker +3
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M

Morgan

Senior
United States — Los Angeles (UTC-7) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql pytorch tensorflow databricks
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Shahzaib

Shahzaib

Senior
Pakistan — Karachi (UTC+5) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python rag sql langchain
Open profile
Shubham

Shubham

Senior
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
tensorflow scikit-learn python keras pandas
Open profile
M

Meherin Hossain

Junior
Bangladesh — Dhaka (UTC+6) Full-time, Freelance
AI & Machine Learning Engineers data science & analytics
python sql pytorch scikit-learn numpy +5
Open profile
Sangram

Sangram

Senior
India — Kolkata (UTC+5.5) Full-time
AI Product & Strategy AI & Machine Learning Engineers
python langchain llamaindex pytorch tensorflow +5
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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