Machine Learning Lead

Hoomanely; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Benefits offered by this job

Ground-up ML leadership

Ownership from day one

Direct line to founders

Job summary

Hoomanely in Bengaluru seeks an experienced ML leader to drive the machine learning roadmap across its sensor-driven product ecosystem, focusing on DSP, audio analysis, and accelerometer data. You will have led teams and shipped models from research to production.

You'll design custom ML models, mentor engineers, build data pipelines, and establish MLOps to scale deployments while staying ahead in ML research.

Qualifications

• 10+ years of experience.
• B.Tech from a Tier 1 Institute.

Responsibilities

• Define and drive the ML roadmap across the product ecosystem.
• Lead the design of custom ML models for DSP, audio analysis, and accelerometer data.
• Apply advanced techniques (time series, CNNs, RNNs, GANs, LLMs, LoRA) to pet wellness tech.
• Build, lead, and mentor a team of ML engineers and set technical standards.
• Own data preprocessing pipelines for ML at scale.
• Establish MLOps practices and infrastructure for reliable production deployments.
• Set benchmarks for monitoring model accuracy and efficiency.
• Partner with product, engineering, and data science leadership to ship ML features.
• Stay ahead of ML and signal processing and foster research and innovation.

Skills

ML leadership

Team leadership

Production ML

Data analysis

Education

B.Tech from a Tier 1 Institute

Tools

CNNs

RNNs

GANs

LLMs

MLOps

Job description

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

• 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

Required Qualifications

• 10+ years of experience
• B.Tech from a Tier 1 Institute

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