Lead Software Engineer - MLOps Engineer

About the role

You will be responsible for building, operating, and evolving the Data Science Delivery Platform (DSDP), enabling Data Scientists and Engineers to develop, deploy, and scale AI/ML solutions securely and efficiently. You will work closely with Data Science teams, infrastructure teams, and business stakeholders to maintain and evolve a reliable, self-service AI platform.

What you'll do

• Build and maintain scalable platform services on Kubernetes
• Build and maintain tools to facilitate the end-to-end data science lifecycle, covering experimentation, deployment, monitoring, and governance
• Support and enhance enterprise AI tools such as Dataiku, MLFlow, Snowflake, and Spark
• Implement automation, CI/CD pipelines, and platform engineering best practices
• Ensure platform reliability, observability, security, and compliance

What you need

• MLOps
• Machine learning
• Python
• CI/CD
• Kubernetes
• Terraform

Good to have

• LLMs
• Linux
• Jenkins
• Ansible
• Snowflake
• Spark