ML OPS - Lead

About the role

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

What you'll do

• Define and drive enterprise MLOps strategy aligned with organizational AI, machine learning, and operational objectives
• Establish MLOps governance frameworks, engineering standards, and deployment best practices across teams
• Lead the design of enterprise-scale CI/CD architectures supporting machine learning lifecycle automation
• Define enterprise standards for model deployment, serving, and operational management
• Establish governance standards for model registry, version management, model traceability, and lifecycle control

What you need

• 8–10 years in data science & ai
• MLOps
• Machine learning
• Python
• CI/CD
• Any graduate

Good to have

• NLP
• LLMs
• PyTorch
• Databricks