ApplySarthi

Senior ML Engineer (Technical Lead)

Zerolook

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873 open ML roles across 245 companies are on ApplySarthi right now, most of them in Bengaluru (72), Delhi NCR (13), Pune (11).

What ML roles keep asking for: Machine learning (64%), Python (63%), AWS (42%), LLMs (38%), Generative AI (27%), PyTorch (25%), CI/CD (23%), Kubernetes (21%) — counted across their open postings here.

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Preparing for this interview

Interviews for ML roles keep coming back to Machine learning, Python, AWS, LLMs. Practise those questions before you sit with Zerolook.

Questions you are likely to be asked

  1. Why do you want to join Zerolook?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Practise the Senior ML Engineer (Technical Lead) at Zerolook interview free →

Looking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that! Zerolook ($1.9M raised in August 2026, founded by former Google Flights and Kayak execs) is changing how air travel is priced, and ML is at the core of our approach. As an early hire, you get to define the technical approach at the center of it all. Tasks Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation. Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data. Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks. Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction. Technical Leadership: hire, lead and mentor other engineers as the team grows. Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering. Requirements Education: Bachelors or Masters in Computer Science or related field. Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses. Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments. Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines. Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership. Bonus Requirements Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus. Large scale applications: experience building applications serving over 10K QPS at latencies on the order of 1 sec. Education: Ph.D. in Computer Science and/or educational concentration in Data Science Benefits Compensation CHF 140.000-150.000 + significant stock options If you are ready to build the infrastructure that will power the next generation of travel search, we want to hear from you. Find more English Speaking Jobs in Switzerland on Arbeitnow

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Listed on arbeitnow · posted 2026-10-21. ApplySarthi collects openings and links to application pages; the role is advertised by Zerolook, not by us.