Engineering Manager, Machine Learning / ML,Gen AI, LLM, Lead ML

10 - 15 years

30 - 37 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Your Impact

As an Engineering Manager, you bring a visionary technical approach and a strong track record of building and leading high-performing ML/AI engineering teams. You will guide the design, architecture, and delivery of scalable machine learning systems while fostering an engineering culture focused on innovation, technical excellence, and measurable outcomes.

You will:

  • Lead, mentor, and grow a world-class engineering team focused on LLM-driven and agentic AI solutions.
  • Drive end-to-end technical strategy across model development, optimization, evaluation, deployment, and monitoring.
  • Partner with research and product teams to translate advanced AI capabilities into robust, scalable, production-ready systems.
  • Influence architectural decisions and engineering standards to ensure reliability, efficiency, and security across the AI platform.
  • Champion best practices in experimentation, model governance, responsible AI, and performance optimization.
  • Enable your team to tackle ambiguity, solve complex problems creatively, and deliver high-impact solutions at scale.

Minimum Qualifications

  • BA/BS degree with 10+ years of experience in machine learning, AI engineering, or a related technical field.(or)MS degree with 8+ years of relevant experience
  • Solid experience leading engineering teams and delivering production ML/AI systems.
  • Strong portfolio of successful, large-scale machine learning projects.
  • Expertise in machine learning algorithms, deep learning, LLMs, and statistical modeling.

Preferred Qualifications

  • Advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics, or related field.
  • Proficiency in Python, with experience in ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with distributed systems, model serving, MLOps workflows, and GPU compute environments.
  • Excellent problem-solving ability with strong communication and cross-functional teamwork skills.
  • Proven success working with product, research, and platform teams to ship real-world AI solutions.

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