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Abhishek Kumar

Abhishek Kumar

Senior
India — Kolkata (UTC+5.5) Freelance, Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python langchain pytorch docker kubernetes +5
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U

Upayan

Mid-Level
India — Kolkata (UTC+5.5) Contract, Full-time
AI & Machine Learning Engineers data science & analytics
python tensorflow snowflake langchain prompt engineering +5
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A

Anna

Senior
Estonia — Tallinn (UTC+3) Full-time, Contract
AI & Machine Learning Engineers data science & analytics
python tensorflow sql keras
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Poomagal

Poomagal

Mid-Level
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
python tensorflow pytorch scikit-learn keras +5
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P

Priti

Senior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pandas langchain rag prompt engineering +2
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S

Sandro

Senior
Italy — Rome (UTC+2) Full-time, Contract-to-hire
AI Implementation & Consulting AI Product & Strategy
python langchain rag ai agents openai api +5
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Hailemeskel Yigrem

Hailemeskel Yigrem

Senior
Ethiopia — Addis Ababa (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql ci/cd pytorch tensorflow +5
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Pradeep Reddy

Pradeep Reddy

Senior
India — Kolkata (UTC+5.5) Full-time, Part-time
MLOps & AI Infrastructure AI & Machine Learning Engineers
python tensorflow pytorch computer vision kubernetes +5
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S

Shrowmika

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
NLP & Prompt Engineering data science & analytics
python sql prompt engineering openai api
Open profile
Upeka Diluksha

Upeka Diluksha

Junior
Sri Lanka — Colombo (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python rag langchain sql pytorch +5
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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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