About the role
Location: Bengaluru
Department: Machine Learning
Employment Type: Full-time
Experience: 3+ years
About the Role
We're looking for a hands-on ML engineer to build and ship models across Hoomanely's sensor-driven product ecosystem, working closely with the ML Lead on digital signal processing, computer vision, and time series problems. You're comfortable taking a model from an early prototype through to a reliable, production-deployed system.
What You'll Do
- Build and iterate on ML models for time series, audio signal, and sensor fusion problems, under the guidance of the ML Lead
- Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale
- Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints
- Run structured experiments to evaluate model accuracy, generalization, and failure modes, and document findings clearly
- Support monitoring and retraining pipelines that track model performance and drift after deployment
- Work closely with firmware, hardware, and app teams to turn model outputs into clear, actionable product insight
Required Qualifications
- 3+ years of experience
- B.Tech from a Tier 1 Institute
Why Join Us?
- Ship models that run on real hardware, on real dogs — not just in a notebook
- Learn directly from the ML Lead while owning real pieces of the roadmap
- Take ownership early, with a direct line to the people building the rest of the product
- Join a small, fast-moving team building a category-defining, sensor-driven product
