Machine Learning Lead

We're looking for an experienced ML leader to drive the machine learning roadmap across Hoomanely's sensor-driven product ecosystem, with a 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.

Responsibilities:

• 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 in time series analysis, CNNs, RNNs, GANs, LLMs, and 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 optimising 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.

Requirements:

• You have a B. Tech in Computer Science, Data Science, Electrical Engineering, or a 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.
• Familiarity with IoT device data processing and analysis.
• Knowledge of cloud platforms for ML deployment.
• Published research or patents in applied machine learning.