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Hiring for a Senior / Lead Machine Learning Engineer for one of our clients


Company:A leading product startup in AI fashion supply chain Space (one of our Clients)

Position: Senior / Lead Machine Learning Engineer

Experience: 2-7 years

Location: Remote (but for the first 2 months onsite - accommodation will be provided for that time frame)

Compensation: No bar for the right candidate + ESOPs

Expectation: End-to-end experience in building AI Agents

Job ID: TOT2025502


Company Overview

We are reimagining how the fashion supply chain works by using AI-driven solutions to handle repetitive tasks, giving teams the freedom to focus on creativity, strategy, and business expansion. We spent the past few months traveling to 8 countries across 3 continents, from Indian cotton farms to German retail spaces, to gather valuable insights. With our pre-seed funding secured and strong partnerships in place, we are now developing our MVP that will make the fashion industry faster, more precise, and easier to navigate. We are committed to rapid growth and to introducing smart, scalable technology that can transform how textiles are produced and sold. This is a unique opportunity to be part of this journey from the very beginning

Responsibilities

As our Lead Engineer, you’ll lead the technical charge to make our vision real, starting with our MVP in a 3-5 month sprint. You’ll:

  • Design and code an AI-driven system (leveraging machine learning and NLP) with integrated workflow automation to streamline and automate tasks in the textile supply chain, owning it from scratch to finish.
  • Develop backend systems, utilize cutting-edge tools, critically assess manpower needs beyond yourself, oversee a small support team, and drive toward our aggressive launch timeline.
  • Collaborate closely with our founders to align tech with ambitious goals and client input, ensuring automated workflows deliver speed, precision, and ease to textile industry stakeholders.
  • Build an MVP that scales to millions, integrating APIs and data pipelines, using major cloud platforms (AWS, Azure, Google Cloud)—keeping us nimble now and primed for explosive growth later

What You Bring

  • 2–7 years of experience at high-growth startups or leading tech firms—where you shipped real products, solved complex problems, and moved fast.
  •  End-to-end ownership: You've taken tech projects from zero to one—built systems from scratch, made architecture decisions, handled messy edge cases, and delivered under pressure.
  •  Technical horsepower: Strong across full-stack or backend engineering, ML/NLP integration, cloud architecture, and API/data pipeline development. Experience with workflow automation tools and platforms (e.g., Apache Airflow, UiPath, or similar) to automate processes, ideally in supply chain or textiles. You can code an MVP solo if needed.
  •  Resource Clarity: Bring as much technical expertise as possible to build our MVP, and if you can’t own every piece, clearly identify the specific areas where you’ll need team members to deliver on time.
  •  Vision Alignment: You think like a builder, taking ownership of the product and team as if it were your own, while partnering closely with the founders to execute their vision with trust and decisiveness.
  •  Execution DNA: You ship fast, iterate intelligently, and know when to be scrappy vs. when to be solid.
  •  Problem-First Thinking: You’re obsessed with solving real user problems, understanding stakeholder needs beyond just writing beautiful code.
  •  High-Energy Leadership: Hands-on, humble, and always ready to jump into the trenches. You lead by doing.
  •  Geographical Fit: India-based, ideally with previous exposure to international teams or founders.
  •  Values-driven: You live our culture—live in the future, move fast, one team, and character above all.

Why Join Us?

  • Be the technical linchpin of a hypergrowth startup—build the MVP that launches us into the stratosphere.
  •  Competitive salary and equity options to negotiate—own a piece of something massive.
  •  A full-time role demanding full availability—put in the time needed to smash deadlines and reshape the second-biggest industry on Earth with a team that moves fast and rewards hustle.


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