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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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Amanuel

Amanuel

Mid-Level
Ethiopia — Addis Ababa (UTC+3) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
python tensorflow pytorch pandas sql +4
Open profile
N

Nixon

Junior
Kenya — Nairobi (UTC+3) Full-time
AI & Machine Learning Engineers
python sql kubernetes docker
Open profile
Dimitar

Dimitar

Senior
Bulgaria — Sofia (UTC+3) Full-time, Contract
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch mlflow azure ci/cd +1
Open profile
Shibin

Shibin

Junior
India — Kolkata (UTC+5.5) Full-time, Freelance
NLP & Prompt Engineering data science & analytics
python pandas computer vision scikit-learn pytorch +5
Open profile
Coenraad

Coenraad

Senior
South Africa — Johannesburg (UTC+2) Full-time
data science & analytics AI & Machine Learning Engineers
python tensorflow sql pytorch
Open profile
C

Connor

Senior
Ireland — Dublin (UTC+1) Full-time, Part-time
Automation & AI Workflows AI Product & Strategy
python sql ci/cd prompt engineering langchain +2
Open profile
M

Mitushi

Junior
India — Kolkata (UTC+5.5) Part-time, Full-time
AI & Machine Learning Engineers data science & analytics
python scikit-learn pytorch numpy
Open profile
Aaditi

Aaditi

Mid-Level
France — Paris (UTC+2) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql scikit-learn tensorflow computer vision +5
Open profile
I

Indumathi

Mid-Level
India — Kolkata (UTC+5.5) Part-time, Freelance
AI & Machine Learning Engineers Automation & AI Workflows
python sql tensorflow pandas scikit-learn +5
Open profile
N

Nataraj

Senior
India — Kolkata (UTC+5.5) Full-time
MLOps & AI Infrastructure Automation & AI Workflows
mlflow python pytorch langchain
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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