Machine Learning Lead

Job Title: Machine Learning Lead Company: Stellaspire Job Category: Machine Learning Roles & Responsibilities: Machine Learning Lead About the Role ================== * 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 at Hoomanely * Lead ML from the ground up on a category\-defining, sensor\-driven product , not a legacy stack * Own one of the hardest, most interesting problems in pet health: turning raw signal into insight * Take full ownership from day one, with a direct line to product and founding leadership * Build the team you wished you'd had , hire, mentor, and set the bar Work Location: India Availability: Full time

Full\-Time \| Bengaluru, Work from Office Note: Shortlisted candidates will complete a take\-home assignment as part of the process. We're looking for an experienced ML leader to drive the machine learning roadmap across Hoomanely's 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 ================== You Might Be a Fit If… ========================== * You have a B.Tech in Computer Science, Data Science, Electrical Engineering, or related field from a Tier 1 institute (IIT, NIT, BITS Pilani, or equivalent) , mandatory * You have 10\+ years building custom ML models, including for digital signal processing, audio signal analysis, or accelerometer data * You've led and grown ML teams, with a track record of taking models from research into production * You have strong depth in time\-series ML, CNNs, RNNs, GANs, LLMs, and low\-rank adaptation techniques * You have deep MLOps experience , deploying and running ML models in production * You're fluent in TensorFlow, PyTorch, and Python * You bring strong analytical, problem\-solving, communication, and leadership skills * Bonus: experience in pet wellness or a related industry * Bonus: familiarity with IoT device data processing and analysis * Bonus: knowledge of cloud platforms for ML deployment * Bonus: published research or patents in applied machine learning Why Join Us? ================ Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: INR 6e+06 - 6e+06 per yearly