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

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Zacharie

Zacharie

Senior
United States — New York (UTC-4) Contract, Freelance
AI Training & Data Annotation NLP & Prompt Engineering
model evaluation rlhf data annotation prompt engineering ai agents +5
Open profile
M

Michael

Junior
Nigeria — Lagos (UTC+1) Full-time, Freelance
Automation & AI Workflows AI Product & Strategy
python hugging face prompt engineering docker fastapi +5
Open profile
A

Areeba

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python sql pandas numpy power bi +5
Open profile
Jatin

Jatin

Junior
India — Kolkata (UTC+5.5) Freelance, Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql tensorflow scikit-learn keras +2
Open profile
S

Sambhav

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
NLP & Prompt Engineering Automation & AI Workflows
python langchain sql databricks docker +1
Open profile
D

Dmytro

Senior
United States — New York (UTC-4) Full-time, Contract-to-hire
AI & Machine Learning Engineers MLOps & AI Infrastructure
python fastapi docker kubernetes aws +4
Open profile
Nakabayashi

Nakabayashi

Senior
United States — New York (UTC-4) Freelance
AI & Machine Learning Engineers data science & analytics
python sql keras tensorflow
Open profile
A

Ahmed

Junior
Egypt — Cairo (UTC+3) Full-time
data science & analytics AI & Machine Learning Engineers
python computer vision tensorflow scikit-learn sql +2
Open profile
Clement

Clement

Mid-Level
Kenya — Nairobi (UTC+3) Contract, Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python scikit-learn pytorch numpy prompt engineering +5
Open profile
Eyad Saleh

Eyad Saleh

Junior
Egypt — Cairo (UTC+3) Full-time, Freelance
Automation & AI Workflows AI Implementation & Consulting
python sql azure vector databases databricks +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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