Hi,

Hope you're doing well!

This is an exciting Machine Learning Engineering Manager opportunity at a global leader in AI data solutions. This role offers a unique chance to lead intelligent automation initiatives that power mission-critical AI solutions for some of the world’s most innovative companies.

About Client

It is a global AI data solutions provider, trusted by top-tier companies to power their AI initiatives across various industries such as:

Autonomous mobility

Healthcare

Agriculture

Geospatial intelligence, and more.

They specializes in transforming unstructured data into structured intelligence at scale. Their proprietary platforms like AngoHub and 3DPCT blend human expertise with automation to accelerate AI development and deployment.

About the Role: Machine Learning Engineering Manager

This is a technical leadership position focused on building and scaling intelligent automation and ML solutions that support millions of annotations weekly.

Location:Bangalore

You’ll work on cutting-edge technologies like:

Computer Vision and Large Vision Models

Auto-labeling using multi-sensor data (LiDAR, camera, video, audio)

Large Language Models (LLMs) and Multimodal AI

Key Responsibilities

Design, develop, and deploy scalable ML models and automation pipelines.

Build and lead a high-performing ML engineering team.

Architect MLOps, CI/CD, and retraining pipelines.

Integrate ML into platforms like AngoHub and 3DPCT.

Collaborate with product, data, and domain experts.

Represent iMerit in client discussions and tech briefings.

Minimum Requirements

8+ years in software/ML engineering (5+ in leadership).

Strong Python skills and ML frameworks (PyTorch/TensorFlow).

Hands-on with MLOps, cloud tools, and multi-modal data.

Experience deploying production-ready ML solutions.

 Preferred/Additional Skills

Autonomous Vehicles stack: Sensor fusion, perception, planning.

Cloud expertise (AWS, GCP, Azure).

RAG, Agentic AI, Synthetic Data Generation.

Advanced LLM techniques: RLHF, SFT, domain-specific fine-tuning.

Knowledge of vision-language models and self-supervised learning (e.g., DINOv2).

 Why Join ?

Be at the forefront of AI automation and innovation.

Work on explainable and ethical AI.

Drive impactful solutions used by Fortune 100 companies.

Lead a world-class engineering team and shape enterprise AI products.