We are seeking a vision-driven AI / ML Engineering Leader to architect and scale intelligent enterprise solutions that transform business outcomes through innovation and automation. The ideal candidate will bring deep techno-functional expertise in LLMs, Generative AI frameworks, Agentic AI workflows, and MLOps, driving enterprise-scale AI adoption and measurable impact.
Key Responsibilities :
AI / ML Strategy & Transformation :
- Define and execute AI / ML roadmaps aligned with business KPIs.
- Lead enterprise-scale transformations by architecting end-to-end machine learning ecosystems.
Generative AI & LLM Solutions :
Design and implement Retrieval-Augmented Generation (RAG) solutions and agentic AI workflows.Fine-tune LLMs for domain-specific applications and optimize inference efficiency using quantization and PEFT techniques.MLOps & Model Lifecycle Management :
Build scalable CI / CD pipelines for model deployment and monitoring.Develop explainability dashboards and ensure compliance with ethical AI governance.NLP & Text Analytics :
Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation.AI Integration with ITSM Platforms :
Implement AI-driven service transformation for platforms like ServiceNow, enabling intelligent incident management and anomaly detection.Cloud-Native AI Development :
Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.Data Engineering & Governance :
Design scalable ETL pipelines and enforce data governance standards for AI readiness.Leadership & Mentorship :
Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional collaboration.Required Skills & Qualifications :
Technical Expertise : Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, SageMaker.AI / ML Specialization : LLM fine-tuning, RAG, Generative AI, NLP, Vision AI.MLOps Proficiency : CI / CD pipelines, model monitoring, explainability, compliance frameworks.Cloud Experience : AWS cloud-native AI development.Soft Skills : Strategic thinking, leadership, mentoring, and stakeholder management.Experience : 10+ years in IT / consulting with at least 5+ years in AI / ML engineering leadership roles.Preferred Qualifications :
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.(ref : iimjobs.com)