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Sidharth Krishna

Sidharth Krishna

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers data science & analytics
python pytorch tensorflow hugging face computer vision +3
Open profile
T

Talha Ishtiaque

Senior
Pakistan — Karachi (UTC+5) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow pytorch scikit-learn keras +4
Open profile
A

Ayush

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python tensorflow docker kubernetes pandas +5
Open profile
A

Ajay

Senior
India — Kolkata (UTC+5.5) Freelance, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
azure python sql langchain prompt engineering
Open profile
H

Harshitha

Junior
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers data science & analytics
python sql computer vision scikit-learn spark +4
Open profile
S

Swapnil

Junior
India — Kolkata (UTC+5.5) Full-time
MLOps & AI Infrastructure data science & analytics
python sql pytorch computer vision reinforcement learning +5
Open profile
K

Kadeejath

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
data science & analytics NLP & Prompt Engineering
python pandas aws openai api numpy +3
Open profile
N

Nivesh

Senior
United States — Phoenix (UTC-7) Contract, Contract-to-hire
AI & Machine Learning Engineers MLOps & AI Infrastructure
python rag mlflow langchain
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Cody

Cody

Mid-Level
United States — New York (UTC-4) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python tensorflow pytorch scikit-learn keras +5
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N

Nikola

Senior
Serbia — Belgrade (UTC+2) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch reinforcement learning prompt engineering kubernetes +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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