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Add an MLOps engineer to your team — model deployment, Kubernetes, pipeline orchestration, and production observability. Every profile is manually reviewed. Direct contact, no agency.

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AI & ML Engineering Data Science & Analytics NLP & Prompt Engineering MLOps & AI Infrastructure Automation & AI Workflows

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Vivek

Vivek

Junior
India — Kolkata (UTC+5.5) Part-time, Full-time
AI & Machine Learning Engineers data science & analytics
python sql pytorch numpy pandas +3
Open profile
Fawad

Fawad

Junior
Pakistan — Karachi (UTC+5) Full-time, Contract
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql reinforcement learning vector databases
Open profile
Victor

Victor

Mid-Level
Nigeria — Lagos (UTC+1) Full-time, Part-time
Automation & AI Workflows AI & Machine Learning Engineers
rag langchain aws openai api ai agents +1
Open profile
C

Chilakalapudi

Junior
India — Kolkata (UTC+5.5) Full-time
MLOps & AI Infrastructure
sql aws power bi mlflow
Open profile
A

Aman

Senior
India — Kolkata (UTC+5.5) Full-time, Contract
MLOps & AI Infrastructure Automation & AI Workflows
python langchain rag openai api kubernetes +2
Open profile
Phanindra

Phanindra

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
Automation & AI Workflows AI & Machine Learning Engineers
python openai api langchain rag prompt engineering +4
Open profile
Harsh

Harsh

Mid-Level
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql tensorflow numpy pytorch +2
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Rohith

Rohith

Mid-Level
Estonia — Tallinn (UTC+3) Full-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python computer vision llamaindex pytorch
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M

Madhavi

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
NLP & Prompt Engineering AI Product & Strategy
python sql computer vision scikit-learn
Open profile
D

Dairon Jan

Senior
Philippines — Manila (UTC+8) Full-time, Contract
AI & Machine Learning Engineers Automation & AI Workflows
python prompt engineering openai api kubernetes docker +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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