Must Have Technical/Functional Skills
ü Strong experience in AI, Machine Learning, and Applied Data Science
ü Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
ü Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
ü Solid understanding of MLOps, model lifecycle management, monitoring, and governance
ü Experience with Agentic AI architectures and end to end AI solution design
ü Knowledge of Responsible AI, data privacy, security, and compliance
ü Ability to rapidly build prototypes / PoCs and demonstrate business value
ü Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
ü Certifications preferred:
o Azure AI Engineer
o Azure Data Scientist
o Equivalent AI / ML certifications
Roles & Responsibilities
• Engage with customers to identify AI opportunities and translate business problems into scalable AI solutions
• Lead AI discovery workshops, advisory sessions, and Proof of Concepts
• Architect end to end AI / Agentic AI solutions including:
• Data ingestion
• Model development & evaluation
• Deployment, monitoring, and governance
• Collaborate with Data Engineering, Cloud, Application Development, and Industry SMEs
• Provide AI thought leadership, best practices, and solution guidance
• Review AI solution architectures to ensure quality, scalability, and compliance
• Develop reusable AI assets, accelerators, and reference architectures
• Mentor and guide junior AI engineers and delivery teams
• Support AI capability scale up across manufacturing and cross industry portfolios
Generic Managerial Skills, If any
• Strong stakeholder management and customer engagement skills
• Ability to lead solution discussions with senior business and technology leaders
• Excellent communication, presentation, and storytelling skills
• Mentoring and technical leadership capabilities
• Problem solving mindset with rapid execution focus
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