Visionary AI/ML Leadership Position

14 hours ago

Bengaluru, Karnataka, India beBeeTechnical Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior AI/ML Technical Lead

We are seeking a seasoned and visionary Artificial Intelligence & Machine Learning (AI/ML) Technical Lead to drive the technical design, development, and deployment of AI solutions including fine-tuning foundation models, building agentic applications, and implementing production-grade Retrieval-Augmented Generation (RAG) pipelines.

This role requires close collaboration with cross-functional teams, including pre-sales teams, account delivery managers, solution architects, and enterprise clients to define and deliver AI solutions tailored to business needs.

The ideal candidate will provide hands-on technical leadership throughout the AI/ML lifecycle leading proof-of-concept (POC) efforts, conducting solution demos, and overseeing production-grade implementations. They will also mentor engineering teams, enforce best practices, and ensure the successful delivery of AI initiatives.

Key Responsibilities
  • Lead Technical Delivery & Mentorship:
    • Lead and mentor a team of engineers; establish coding standards, conduct design and PR reviews, and drive continuous improvement.
    • Foster a culture of knowledge-sharing through KT Sessions, documentation, and best-practice guides.
  • AI/ML Model Development & Optimization:
    • Develop, fine-tune, and optimize models using PyTorch, TensorFlow, and modern ML frameworks.
    • Apply prompt engineering and advanced techniques to foundation models (e.g., GPT-4, Claude, Llama).
    • Deliver NLP solutions such as document classification, sentiment analysis, summarization, entity extraction, conversational AI, and generative content/workflow automation.
    • Design and implement RAG workflows leveraging vector databases, smart chunking, ranking, and caching for accurate, grounded responses.
    • Build multi-agent systems for task decomposition, planning, and tool usage in complex environments.
  • MLOps & Productionization:
    • Implement MLOps best practices: CI/CD pipelines, model monitoring, feature stores, lineage, and governance.
    • Ensure model reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI practices.
    • Optimize inference throughput/latency and ensure robust rollback strategies.
  • Performance, Security, and Compliance:
    • Ensure security, compliance, and performance of AI solutions, adhering to industry standards and regulations.
    • Integrate with external APIs, optimize for cost/latency, and manage observability.
  • Stakeholder Engagement & Roadmapping:
    • Translate business objectives into technical designs; communicate risks, metrics, and impact to executives and stakeholders.
    • Produce design diagrams, runbooks, and model cards; lead knowledge-sharing sessions and workshops.
Requirements

10 to 12 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end.

Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field.

Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD.

Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus.

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