Python ML Engineer (MLOps) – Edge & Cloud Production

Epam Systems; United Arab Emirates; On-site; AED 300,000 - 560,000; Full time

Job summary

Epam Systems in Abu Dhabi is seeking a Python ML Engineer (MLOps) to take customer ML models and AI pipelines from PoC to scalable production. You will own deployment, monitoring and optimisation across edge and cloud environments.

Ideal candidates have 5–9 years of relevant experience, strong Python with PyTorch, NumQL, Pandas and Scikit-learn, and hands-on Docker/Kubernetes for model deployment and orchestration. Cloud experience with AWS/GCP/Azure is preferred.

Qualifications

• 5-9 years of relevant experience.
• Bachelor's or Master's degree in Computer Science, ML, Data Science, AI or a related field.

Responsibilities

• Take customer's ML models and AI pipelines from proof of concept to scalable, reliable production.
• Own deployment, monitoring and optimisation across edge and cloud environments.

Skills

Python

PyTorch

NumQL

Pandas

Scikit-learn

Docker

Kubernetes

SQL

NoSQL

AWS

GCP

Azure

MLflow

ClearML

Azure ML

SageMaker

Education

Bachelor's or Master's degree in Computer Science, ML, Data Science, AI or related field

Tools

Docker

Kubernetes

MLflow

Azure ML

SageMaker

Job description

Epam Systems in Abu Dhabi is seeking a Python ML Engineer (MLOps) to take customer ML models and AI pipelines from PoC to scalable production. You will own deployment, monitoring and optimisation across edge and cloud environments.

Ideal candidates have 5–9 years of relevant experience, strong Python with PyTorch, NumQL, Pandas and Scikit-learn, and hands-on Docker/Kubernetes for model deployment and orchestration. Cloud experience with AWS/GCP/Azure is preferred.