Lead Machine Learning Engineer
Engineering
Posted on 8/4/2026
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Job Description
Machine Learning Lead
Full-Time | Bengaluru, Work from Office
Qualifying Degree: B.Tech from a Tier 1 Institute | Experience: 10+ years
🧬 About Us
We're building the first precision health platform for pets — a sensor-driven, AI-powered ecosystem that decodes the health signals dogs give off every day — the ones most people miss — and turns them into insights you can act on.
We're not building another pet gadget. Every signal we decode — acoustic, motion, thermal — depends on machine learning done right. That's the problem this role exists to solve.
🚀 About the Role
We're looking for an experienced ML leader to drive the machine learning roadmap across its 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 its product ecosystem
- Stay ahead of the field in ML and signal processing, and drive a culture of research and innovation.
💡 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?
- 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
About the Company
BloomScouts
Engineering