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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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R

Ri

Mid-Level
Mexico — Mazatlan (UTC-7) Full-time
Automation & AI Workflows
python langchain openai api prompt engineering
Open profile
Andre

Andre

Mid-Level
Brazil — Sao Paulo (UTC-3) Freelance, Contract
Automation & AI Workflows AI Implementation & Consulting
sql docker azure ci/cd openai api +5
Open profile
Sergey

Sergey

Senior
Canada — Edmonton (UTC-6) Part-time, Contract
data science & analytics AI & Machine Learning Engineers
python sql scikit-learn airflow docker +5
Open profile
O

Omar

Junior
Egypt — Cairo (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch tensorflow docker kubernetes +5
Open profile
Fortune

Fortune

Mid-Level
Germany — Berlin (UTC+2) Part-time, Full-time
Automation & AI Workflows MLOps & AI Infrastructure
ai agents fastapi openai api hugging face sql +1
Open profile
Isaiah

Isaiah

Junior
Nigeria — Lagos (UTC+1) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python rag vector databases fastapi ci/cd +1
Open profile
Muhammad Abu Bakar

Muhammad Abu Bakar

Junior
United Kingdom — London (UTC+1) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
pytorch tensorflow kubernetes docker fastapi +5
Open profile
N

Nidhal

Junior
Algeria — Algiers (UTC+1) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
tensorflow computer vision reinforcement learning python
Open profile
Jolanta

Jolanta

Mid-Level
France — Paris (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python tensorflow scikit-learn fastapi keras +1
Open profile
R

Redouane

Senior
Morocco — Casablanca (UTC+0) Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow sql keras
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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