Senior Machine Learning Engineer

3 days ago

Noida, Uttar Pradesh, India Tractable Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Why Tractable?

We combine world-class AI research with real-world applications that make a difference. At Tractable, you'll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.

We're seeking a Senior Machine Learning Engineer to build and scale our ML & data platform, empowering AI innovation. You'll shape infrastructure, drive best practices, and foster team growth.

Your impact

  • Build & Scale: Design, build, and maintain our core ML infrastructure and data platform.

  • Enable ML Acceleration: Optimise the ML lifecycle from research to production.

  • Champion Excellence: Drive technical direction and promote best engineering practices.

  • Support & Grow: Enable Research and Product teams and mentor colleagues.

  • Ensure Reliability: Build robust, scalable systems and tackle performance challenges.

What you'll need to be successful

  • End-to-end ML Pipelines: Experience building and managing ML workflows and data infrastructure

  • Strong Python & Software Skills: Solid software engineering foundation and 2+ years of Python experience

  • Cloud & IaC: Expertise in cloud platforms (ideally AWS) and Infrastructure-as-Code

  • Scalable Systems: Ability to design robust, distributed systems

  • Collaboration & Communication: Excellent communication and teamwork abilities

Preferred experience

  • Proven track record with 5+ years of experience in managing ML Infrastructure & Ops or equivalent responsibilities

  • Atleast 3+ years building scalable ML systems

  • GPU scaling experience

  • Tooling development for internal users

  • Numerical computing skills

  • Basic ML knowledge (computer vision a plus)

  • Familiarity with our Tech Stack

Diversity commitment

At Tractable, we are committed to building a diverse team and inclusive workplace where people's varied backgrounds and experiences are valued and recognised.

We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

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