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Engineering Manager - Leading Gen-AI Organization

12 years

0 Lacs

Greater Bengaluru Area

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

engineering ai learning model development experimentation deployment cutting reasoning research ml training evaluation tuning drive coding design optimization management pytorch inference code

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

Engineering Manager

You’ll work closely with research, product, and infrastructure teams to help translate frontier research into robust, production-ready systems.


Key Responsibilities


Team Leadership:

  • Lead, mentor, and grow a team of ML engineers, research engineers, and platform developers.

Project Execution:

  • Own technical delivery across multiple projects involving model training, evaluation, fine-tuning, and deployment.

Cross-functional Collaboration:

  • Work closely with research scientists, product managers, and infra teams to define project scope and ensure timely delivery.

Engineering Best Practices:

  • Drive coding standards, experimentation frameworks, CI/CD pipelines, and model reproducibility.

Infra & Scale:

  • Contribute to the design and optimization of large-scale training systems, MLOps pipelines, and serving infra for high-throughput inference.


Ideal Candidate Profile

  • 8–12 years of total experience, with 2–4 years in an engineering management or tech lead capacity.
  • Hands-on experience in building and deploying LLMs, NLP systems, or large-scale ML applications.
  • Familiarity with PyTorch, HuggingFace, or other deep learning frameworks.
  • Experience with distributed training, inference optimization, and working on large datasets.
  • Ability to guide architectural decisions while still being comfortable diving into code and debugging.
  • Strong team management and mentorship experience.
  • Educational background in Computer Science, Machine Learning, or related technical fields (B.Tech/M.Tech/PhD).

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