AI/ML Engineering Leader

1 day ago


Chennai, Tamil Nadu, India ti Steps Full time

As an AI/ML Engineering Leader, you will architect and scale intelligent enterprise solutions, driving innovation and automation to transform business outcomes. This role focuses on leading enterprise-scale AI adoption, with a strong emphasis on LLMs, Generative AI, and MLOps within the tech ecosystem.

Key Responsibilities:

  • Define and execute AI/ML roadmaps aligned with business KPIs, driving enterprise-scale transformations.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions and agentic AI workflows.
  • Fine-tune LLMs for domain-specific applications, optimizing inference efficiency.
  • Build scalable CI/CD pipelines for model deployment and monitoring, ensuring ethical AI governance.
  • Develop advanced NLP solutions leveraging transformer-based architectures for knowledge management.
  • Implement AI-driven service transformation for platforms like ServiceNow.
  • Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.
  • Design scalable ETL pipelines and enforce data governance standards for AI readiness.

Qualifications / Requirements:

  • Minimum 15 years of experience in IT/consulting, with at least 5 years in AI/ML engineering leadership.
  • Expertise in Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, and SageMaker.
  • Proven experience in LLM fine-tuning, RAG, Generative AI, NLP, and Vision AI.
  • Strong proficiency in MLOps, including CI/CD pipelines, model monitoring, and explainability.
  • Demonstrated experience in cloud-native AI development on AWS.
  • Excellent strategic thinking, leadership, mentoring, and stakeholder management skills.

Preferred Skills / Attributes:

  • Experience in agentic AI workflow design and autonomous systems.
  • Proven track record of delivering enterprise-scale AI transformations.
  • Familiarity with ethical AI governance and regulatory compliance frameworks.
  • Strong understanding of cloud-native AI development best practices.
  • Excellent communication and collaboration skills.

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