Posted on: 19/02/2026
Description :
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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