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Karthik

Karthik

Mid-Level
India — Kolkata (UTC+5.5) Freelance, Contract
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql scikit-learn keras docker +4
Open profile
Abhishek

Abhishek

Senior
India — Kolkata (UTC+5.5) Full-time, Freelance
data science & analytics AI Business, Marketing & Strategy
scikit-learn python pytorch tensorflow numpy +4
Open profile
Vesa

Vesa

Senior
Georgia — Tbilisi (UTC+4) Freelance, Contract
data science & analytics MLOps & AI Infrastructure
python sql r power bi statistics +3
Open profile
Divya

Divya

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers AI Implementation & Consulting
python databricks azure rag
Open profile
Răzvan-Mihai

Răzvan-Mihai

Mid-Level
Romania — Bucharest (UTC+3) Contract, Freelance
AI & Machine Learning Engineers data science & analytics
python tensorflow pytorch sql pandas +5
Open profile
Krishna Chaitanya

Krishna Chaitanya

Senior
India — Kolkata (UTC+5.5) Freelance, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python openai api langchain hugging face pytorch +5
Open profile
Yash Vinay Chinawale

Yash Vinay Chinawale

Mid-level
Full Time
MLOps & AI Infrastructure AI & Machine Learning Engineers
python databricks docker langchain rag +2
Open profile
Mohit

Mohit

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
data science & analytics AI Product & Strategy
python langchain tensorflow pandas
Open profile
Aman

Aman

Mid-Level
India — Kolkata (UTC+5.5) Full-time
data science & analytics AI & Machine Learning Engineers
python sql tensorflow scikit-learn pandas +2
Open profile
Gaurav

Gaurav

Entry-level
Full Time
AI Business, Marketing & Strategy MLOps & Industrialisation
python pytorch computer vision reinforcement learning etl pipelines +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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