Senior ML Engineer

About the role

In this senior-level role, you will lead the design, development, and operation of machine learning platforms, enabling data scientists and engineers to deploy, monitor, and manage models with confidence. Rather than focusing primarily on model development, you will specialize in ML platform engineering, MLOps, model serving, automation, and production reliability.

What you'll do

• Lead ML platform engineering initiatives: Design, develop, deploy, and operate complex platform capabilities that support the complete machine learning lifecycle
• Build scalable ML infrastructure: Develop robust solutions for model deployment and serving, feature computation, data validation, workflow orchestration, monitoring
• Improve platform reliability and performance: Build reusable components, standards, and automation that strengthen system availability, scalability, observability
• Own technical projects end to end: Translate business requirements into technical designs, evaluate implementation options, communicate trade-offs, coordinate delivery
• Drive production troubleshooting: Lead investigations into complex production incidents, identify root causes, implement durable solutions

What you need

• 5–9 yrs of experience
• Machine learning
• Python
• SQL
• MLOps
• Spark
• AWS
• Any graduate

Good to have

• Databricks
• Kafka
• Git
• CI/CD
• Data privacy
• Docker