Senior Machine Learning Engineer

About the role

We're looking for a Senior Machine Learning Engineer who owns solutions end to end, from framing the problem, to building and deploying the model, to running it in production. This is a hands-on, business-minded role in a lean team: you'll build ML and AI that drives real outcomes for our customers, and make pragmatic calls about cost, scale, and impact, not just model accuracy.

What you'll do

• Own ML and AI solutions end to end: frame the problem, build the model, deploy it, and run it in production (MLOps). You own the full lifecycle, not just the modelling
• Own some products end to end and contribute to others, thinking about business outcomes, cost, and scale, and model performance
• Comfortable building from a rough outline rather than a finished spec
• Work directly with product and customer-facing teams to turn loosely defined problems into shipped features, and re-scope quickly when priorities shift
• Own the how, which means pushing back on a weak brief and making the call when the spec runs out

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• Python
• MLOps
• LLMs
• AWS
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Spark
• Kafka
• Lean
• Docker
• Kubernetes
• Demand planning