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Machine Learning Lead- 10+ Yrs

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Onsite

Machine Learning Lead- 10+ Yrs

Stellaspire

Machine Learning Lead- 10+ Yrs

Skills

Data ScienceData AnalysisMachine Learning

10 days ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


About the Role

We're looking for an experienced ML leader to drive the machine learning roadmap across sensor-driven product ecosystem, with deep focus on digital signal processing, audio signal analysis, and accelerometer data. You've led ML teams and taken models from research to production before — building CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques into real products. You'll set technical direction, grow a team of ML engineers, and turn raw sensor data into the insight that helps pets live longer, healthier lives.

What You'll Do

  • Define and drive the ML roadmap across the product ecosystem, aligning model development with product and business priorities
  • Lead the design of custom ML models from scratch for digital signal processing, audio signal analysis, and accelerometer data — published papers or demonstrable custom-built models expected
  • Apply advanced techniques — time series analysis, CNNs, RNNs, GANs, LLMs, low-rank adaptation — to solve hard problems in pet wellness technology
  • Build, lead, and mentor a team of ML engineers, setting technical standards and a culture of rigorous experimentation
  • Own sophisticated data analysis and preprocessing pipelines that prepare datasets for ML at scale
  • Establish MLOps practices and infrastructure that get models into production reliably, at scale
  • Set benchmarks for continuously monitoring and optimizing model accuracy and efficiency
  • Partner closely with product, engineering, and data science leadership to ship ML into Hoomanely's product ecosystem
  • Stay ahead of the field in ML and signal processing, and drive a culture of research and innovation

Pay: Up to ₹6,500,000.00 per year

Work Location: In person

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