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J

John

Senior
Sweden — Stockholm (UTC+2) Full-time
AI & Machine Learning Engineers
python scikit-learn sql pytorch tensorflow +1
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Allen

Allen

Senior
United States — Los Angeles (UTC-7) Full-time, Part-time
NLP & Prompt Engineering Automation & AI Workflows
tensorflow pytorch keras pandas numpy +5
Open profile
Mohammad Abdur Rehman Cheema

Mohammad Abdur Rehman Cheema

Senior
Sweden — Stockholm (UTC+2) Contract, Freelance
AI & Machine Learning Engineers AI Implementation & Consulting
python kafka spark hadoop rag +5
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N

Nadav

Mid-Level
Israel — Jerusalem (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch langchain openai api
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Medikonduru Manikanta

Medikonduru Manikanta

Junior
India — Kolkata (UTC+5.5) Full-time
Automation & AI Workflows AI & Machine Learning Engineers
python sql rag langchain ai agents +4
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Kartikey

Kartikey

Mid-Level
India — Kolkata (UTC+5.5) Full-time
data science & analytics AI & Machine Learning Engineers
python tensorflow langchain rag
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Kiruthika

Kiruthika

Mid-Level
United Kingdom — London (UTC+1) Full-time, Part-time
MLOps & AI Infrastructure
python gcp mlflow etl ci/cd +4
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Sahil

Sahil

Mid-Level
Bangladesh — Dhaka (UTC+6) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql pytorch computer vision reinforcement learning +5
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Amanuel

Amanuel

Mid-Level
Ethiopia — Addis Ababa (UTC+3) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
python tensorflow pytorch pandas sql +4
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Ali

Ali

Mid-Level
Egypt — Cairo (UTC+3) Full-time
Automation & AI Workflows
python sql aws fastapi ai agents +1
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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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