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 clear, actionable product insightWhat 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 deploymentBonus 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-techWhy 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)
🏢 Swasti Enterprises
📍 Bengaluru