Machine Learning Lead

Talenque

Bengaluru

On-site

INR 4,500,000 - 7,000,000

Full time

14 days+
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Job summary

Talenque in Bengaluru is seeking a seasoned Machine Learning Lead to shape the ML roadmap across a sensor-driven, AI-powered health platform for pets. You will lead research, build production-ready models, and mentor ML engineers across DSP, audio, and time-series data.

The ideal candidate has 10+ years in ML, 8+ years in leadership, and deep expertise in CNNs, RNNs, GANs, LLMs, LoRA, MLOps, TensorFlow, PyTorch, and Python.

Qualifications

  • 10+ years of machine learning experience.
  • 8+ years in a similar leadership role.
  • Expertise in Digital Signal Processing, Audio Signal Analysis, and Time-Series ML.
  • Strong experience with CNNs, RNNs, GANs, LLMs, and LoRA.
  • Hands-on experience building and deploying custom ML models.
  • Deep understanding of MLOps, TensorFlow, PyTorch, and Python.
  • Experience leading ML teams and taking models from research to production.
  • Background in B2C product-based companies only.

Responsibilities

  • Define and drive the ML roadmap across the product ecosystem.
  • Design and develop custom ML models for signal processing and sensor data.
  • Build and deploy models using CNNs, RNNs, GANs, LLMs, and LoRA techniques.
  • Lead, mentor, and grow a team of ML engineers.
  • Build scalable data preprocessing and analysis pipelines.
  • Establish and optimize MLOps practices and infrastructure.
  • Monitor and continuously improve model performance.
  • Collaborate with product, engineering, and data science teams.
  • Drive research, innovation, and technical excellence.

Skills

Digital Signal Processing
Audio Signal Analysis
Time-Series ML
CNNs
RNNs
GANs
LLMs
LoRA techniques
MLOps
Python
TensorFlow
PyTorch
Team Leadership
Production ML deployment

Education

B.Tech from a Tier-1 Institute (IIT, NIT, BITS Pilani, or equivalent)

Tools

TensorFlow
PyTorch
Python

Job description

We're Hiring | Machine Learning Lead

Location: Bengaluru (WFO)

Type: Full-time

Experience: 10+ Years

Qualification: B.Tech from a Tier-1 Institute (IIT, NIT, BITS Pilani, or equivalent)

About the Role

Join an innovative team building the world's first sensor-driven, AI-powered precision health platform for pets.

We're looking for an experienced Machine Learning Lead to drive the ML roadmap across a product ecosystem powered by digital signal processing, audio signal analysis, accelerometer data, and AI.

This role goes far beyond traditional machine learning. You'll lead research, build production-ready models, mentor ML engineers, and transform complex sensor data into actionable health insights.

What You'll Do
  • Define and drive the machine learning roadmap across the product ecosystem
  • Design and develop custom ML models for signal processing and sensor data
  • Build and deploy models using CNNs, RNNs, GANs, LLMs, and LoRA techniques
  • Lead, mentor, and grow a team of ML engineers
  • Build scalable data preprocessing and analysis pipelines
  • Establish and optimize MLOps practices and infrastructure
  • Monitor and continuously improve model performance
  • Collaborate with product, engineering, and data science teams
  • Drive research, innovation, and technical excellence
Must-Have Skills
  • 10+ years of machine learning experience
  • 8+ years of experience in a similar leadership role
  • Expertise in Digital Signal Processing, Audio Signal Analysis, and Time-Series ML
  • Strong experience with CNNs, RNNs, GANs, LLMs, and LoRA
  • Hands-on experience building and deploying custom ML models
  • Deep understanding of MLOps, TensorFlow, PyTorch, and Python
  • Experience leading ML teams and taking models from research to production
  • Background in B2C product-based companies only
Good-to-Have
  • Experience with IoT and connected devices
  • Cloud-based ML deployment experience
  • Published research papers or patents in machine learning
  • Experience in pet wellness or related industries
Why Join?
  • Build AI solutions that directly impact pet health
  • Work with real-time sensor data and advanced machine learning
  • Collaborate closely with leadership and product teams
  • Lead innovation and shape the future of AI-driven healthcare for pets
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