Python ML Engineer

Epam Systems

United Arab Emirates

On-site

AED 300,000 - 560,000

Full time

6 days ago
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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

Exp : 5 9 Years

Role : Python ML Engineer

Location : Abu Dhabi

We are looking for an ML Engineer (MLOps) to take the customer's ML models and AI pipelines from proof of concept to scalable, reliable production. You will own deployment, monitoring and optimisation across edge and cloud environments

Requirements
  • 5-9 years of relevant experience
  • Proficiency in Python with PyTorch, NumQL, Pandas and Scikit-learn
  • Model deployment, containerisation and orchestration (Docker, Kubernetes)
  • SQL and NoSQL databases
  • One or more cloud platforms (AWS, GCP or Azure)
  • MLOps tools (MLflow, ClearML, Azure ML or AWS SageMaker)
  • Strong understanding of deep learning and other ML techniques
  • Bachelor's or Master's degree in Computer Science, ML, Data Science, AI or a related field
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