Python Developer (ML Ops Experience)

About the Role

We are looking for a Senior Software Engineer with a strong backend focus and solid experience in ML Ops to join our team. The ideal candidate is highly proficient in Python, has a proven track record of deploying machine learning systems into production—particularly on AWS, and ideally has exposure to Azure as well. A high level of English communication is essential, as you will collaborate closely with both technical and non-technical stakeholders.

Key Responsibilities

• Develop and maintain scalable backend systems for machine learning workflows
• Design, implement, and maintain ML Ops pipelines in production environments
• Ensure robust CI/CD and monitoring for ML services
• Collaborate with data scientists and DevOps engineers to bring ML models into production
• Write clean, maintainable code and conduct peer reviews
• Contribute to architectural decisions for scalable and reliable cloud-based systems

Required Skills & Experience

• 5 to 7+ years of experience in backend software engineering
• Strong proficiency in Python
• Proven experience deploying ML models into production
• Deep knowledge of AWS services (SageMaker, Lambda, S3, etc.)
• Experience with ML Ops tools and practices (e.g., MLflow, Kubeflow, Airflow)
• Familiarity with Azure is a plus
• Strong understanding of CI/CD practices
• Excellent communication skills in English (C2 level)

Bonus Points For

• Experience with containerisation (Docker, Kubernetes)
• Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation)
• Exposure to data engineering pipelines and tools
• Previous work in cross-functional agile teams