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Faisal

Faisal

Mid-Level
Saudi Arabia — Riyadh (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers Automation & AI Workflows
python numpy computer vision prompt engineering scikit-learn +5
Open profile
Gabiro

Gabiro

Mid-Level
Rwanda — Kigali (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python tensorflow pytorch reinforcement learning prompt engineering +5
Open profile
Ankur

Ankur

Junior
India — Kolkata (UTC+5.5) Full-time
NLP & Prompt Engineering MLOps & AI Infrastructure
python langchain llamaindex docker rag
Open profile
Satmerep Oluwabusayo Grace

Satmerep Oluwabusayo Grace

Mid-level
Full Time, Freelance
AI & Machine Learning Engineers data science & analytics
python sql pandas numpy power bi +5
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Tanisha

Tanisha

Senior
India — Kolkata (UTC+5.5) Contract, Freelance
computer vision deep learning
ai ml python cv nlp +5
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Devesh Rahatekar

Devesh Rahatekar

Mid-Level
India — Kolkata (UTC+5.5) Full Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch langchain hugging face rag
Open profile
Sakshi

Sakshi

Senior
India — Kolkata (UTC+5.5) Contract, Contract-to-hire
AI & Machine Learning Engineers MLOps & AI Infrastructure
python computer vision tensorflow kubernetes rag +5
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Izan

Izan

Junior
Spain — Madrid (UTC+2) Full-time, Contract
AI & Machine Learning Engineers NLP & Prompt Engineering
python langchain docker rag sql
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Maneesha

Maneesha

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
AI & Machine Learning Engineers data science & analytics
python sql scikit-learn tensorflow numpy +5
Open profile
Alok

Alok

Junior
India — Kolkata (UTC+5.5) Freelance, Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python scikit-learn pytorch snowflake reinforcement learning +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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