AI/ML Development Team Lead

7 - 12 years

9 - 14 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


We are looking for a highly skilled and motivated AI/ML Development Team Lead to drive our machine learning initiatives, lead a talented team, and design end-to-end AI solutions. The ideal candidate has strong technical expertise, proven leadership experience, and a passion for building innovative systems using modern AI technologies, including LLMs and generative AI.

Experience 7+ years

Job Location - Mohali

Key Responsibilities

Technical Leadership, Architecture & R&D

  • Lead the full lifecycle of AI/ML solution development from architecture and data pipelines to model deployment and post-production support.
  • Build and optimize ML models across NLP, computer vision, recommendation systems, forecasting, and other core domains.
  • Integrate, fine-tune, and deploy advanced LLMs such as GPT, BERT, and LLaMA.
  • Evaluate and choose the right ML frameworks, tools, cloud platforms, and data technologies.
  • Set up and manage reliable MLOps pipelines, including CI/CD, model tracking, performance monitoring, and drift detection.
  • Drive experimentation, PoCs, benchmarking, and research initiatives.
  • Identify opportunities where AI can solve business challenges and create measurable impact.

Team Leadership & Collaboration

  • Lead, mentor, and grow a team of ML engineers, data scientists, and research engineers.
  • Conduct code reviews, provide technical guidance, and promote best practices in ML development and MLOps.

Stakeholder & Project Management

  • Work with leadership and cross-functional teams to define AI strategy, roadmap, and key success metrics.
  • Translate business needs into actionable technical plans and ensure timely, high-quality execution.
  • Create architectural documents, technical proposals, and progress reports for stakeholders.

Required Qualifications

  • 7+ years of experience after completing a bachelors or masters degree in a related field.
  • Strong expertise in machine learning algorithms, deep learning, and neural network design.
  • Hands-on experience with ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Practical experience with LLMs, transformer models, prompt engineering, fine-tuning, and embeddings.
  • Strong programming skills in Python and experience with cloud platforms like AWS, Azure, or GCP.
  • Excellent problem-solving, system design, and communication skills.

Added Advantage

  • Certifications in AI/ML, cloud computing, or data engineering.


Required Skills
Google Cloud Platform python libraries(Numpy , Matplotlib , sciKit) AI ML Cloud platforms LLM AWS Python Artificial Intelligence

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