About The Role

We're looking for a hands-on ML engineer to build and ship models across our 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 transparent, actionable product insight

What We're Looking For
B.Tech in Computer Science, Electrical Engineering,



or related field from a Tier 1 institute (IIT, NIT, BITS Pilani, or equivalent) - mandatory
3+ years of applied machine learning experience
Solid understanding of time series analysis and at least one of CNNs, RNNs, or signal processing techniques
Proficiency in Python and at least one ML framework (TensorFlow or PyTorch)
Experience taking at least one model from prototype to a production or near-production deployment

Bonus Skills
Experience with audio signal processing or accelerometer-based activity classification
Familiarity with edge deployment of ML models on embedded compute
Exposure to MLOps tools and practices
Prior experience in IoT, wearables, or health-tech

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, quick-moving team building a category-defining, sensor-driven product

(ref:hirist.tech)

📌 Machine Learning Engineer Time Series Analysis Bengaluru (India)
🏢 Swasti
📍 India