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Lawrence

Lawrence

Senior
United States — Denver (UTC-6) Full-time
Automation & AI Workflows AI & Machine Learning Engineers
sql prompt engineering ci/cd ai agents docker +2
Open profile
Muhammad Ibrahim

Muhammad Ibrahim

Junior
Pakistan — Karachi (UTC+5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch keras rag langchain +1
Open profile
Firas

Firas

Mid-Level
Tunisia — Tunis (UTC+1) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch computer vision gcp hugging face +5
Open profile
Sergi

Sergi

Senior
Spain — Madrid (UTC+2) Full-time, Contract
AI & Machine Learning Engineers Automation & AI Workflows
tensorflow computer vision python reinforcement learning ci/cd +2
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Tanmay

Tanmay

Mid-Level
India — Kolkata (UTC+5.5) Freelance, Part-time
AI Business, Marketing & Strategy Automation & AI Workflows
prompt engineering openai api python power bi reinforcement learning
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Tameeem

Tameeem

Mid-Level
Pakistan — Karachi (UTC+5) Contract-to-hire, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
llm fine-tuning hugging face python pytorch openai api +5
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Dupesh

Dupesh

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql langchain computer vision ai agents +3
Open profile
Yash

Yash

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch tensorflow scikit-learn
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Ahmad

Ahmad

Mid-Level
Israel — Jerusalem (UTC+3) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python hugging face pytorch aws
Open profile
Ganga

Ganga

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python ai agents azure llm fine-tuning llamaindex +4
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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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