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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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Asawir Shafiq Khokhar

Asawir Shafiq Khokhar

Entry-level
Full Time, Part Time
NLP ml (machine learning)
python nlp langchain ml chatgpt api +2
Open profile
Bilal Hameed

Bilal Hameed

Mid-level
Full Time, Part Time
prompt engineering chatgpt
prompt engineering multilingual communication customer relationship management business it communications specialist strategic sales and leadership training +5
Open profile
Carlos Arthur De Carvalho Correia

Carlos Arthur De Carvalho Correia

Senior-level
Part Time, Contract
Engineering deep learning
python java javascript sql pytorch +1
Open profile
Misheck Kibunja Kabiriri

Misheck Kibunja Kabiriri

Mid-level
Full Time, Part Time
data science MLOps
sql python data science time series analysis deep learning +1
Open profile
Partha Pratim Ray

Partha Pratim Ray

Mid-level
Full Time, Contract
generative ai chatgpt
programming python generative ai llm mlops +3
Open profile
Kristen Marie Wong

Kristen Marie Wong

Mid-level
Full Time
prompt engineering generative ai
chatgpt prompt engineering nlp analysis stable diffusion image generation +4
Open profile
Adam Zineldin

Adam Zineldin

Senior-level
Full Time, Part Time
AI & Machine Learning Engineers Data Engineering & Big Data
python aws business intelligence docker azure
Open profile
Thiago Dantas

Thiago Dantas

Senior-level
Full Time, Contract
ml (machine learning) deep learning
python computer vision machine learning deep learning aws +4
Open profile
Shadman Rahman

Shadman Rahman

Mid-level
Freelance, Internship
deep learning ml (machine learning)
data analysis ai engineering data science machine learning deep learning +5
Open profile
Mungati Williard

Mungati Williard

Mid-level
Full Time, Freelance
AI & Machine Learning Engineers MLOps & Industrialisation
python scikit-learn spark power bi chatgpt +2
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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