AI/ML Engineering Leader - Python

Job Description : 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 : 1. 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. 2. 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. 3. MLOps & Model Lifecycle Management : - Build scalable CI/CD pipelines for model deployment and monitoring. - Develop explainability dashboards and ensure compliance with ethical AI governance. 4. NLP & Text Analytics : - Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation. 5. AI Integration with ITSM Platforms : - Implement AI-driven service transformation for platforms like ServiceNow, enabling intelligent incident management and anomaly detection. 6. Cloud-Native AI Development : - Architect and deploy AI solutions on AWS SageMaker and Bedrock environments. 7. Data Engineering & Governance : - Design scalable ETL pipelines and enforce data governance standards for AI readiness. 8. Leadership & Mentorship : - Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional col Job Description : 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 : 1. 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. 2. 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. 3. MLOps & Model Lifecycle Management : - Build scalable CI/CD pipelines for model deployment and monitoring. - Develop explainability dashboards and ensure compliance with ethical AI governance. 4. NLP & Text Analytics : - Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation. 5. AI Integration with ITSM Platforms : - Implement AI-driven service transformation for platforms like ServiceNow, enabling intelligent incident management and anomaly detection. 6. Cloud-Native AI Development : - Architect and deploy AI solutions on AWS SageMaker and Bedrock environments. 7. Data Engineering & Governance : - Design scalable ETL pipelines and enforce data governance standards for AI readiness. 8. Leadership & Mentorship : - Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional col