AI Solutions Manager

Profile Brief As the AI Solutions Manager, you will play a pivotal role in shaping and delivering cutting-edge AI & Generative AI solutions for our clients. Leveraging your expertise in data science, AI / ML & Gen AI, combined with your organizational skills - you will lead the design and delivery of innovative AI solutions to meet our clients' unique needs. This role requires a strong blend of AI / ML engineering, strategic solutioning, and client engagement skills. Education : Bachelors / Masters (Engineering / Commerce / Economics / Maths / Stats / MBA) from a top-tier university. Experience :

• 10-15 years of deep experience in AI / ML Engineering / Data Science in a Client Management / Consulting organizations
• Experience of working at intersection of Data Science, AI / ML Engineering & Data Engineering is highly preferred for this role.Key Requirements
• Extensive expertise in data science and AI / ML, with a proven track record of implementing innovative solutions utilizing a combination of statistical modeling, machine learning techniques, and Generative AI
• Actively engage with clients to comprehensively understand their business challenges and AI solution requirements, while ensuring timely project delivery within defined scopes
• Collaborate effectively with cross-functional teams including Design, UI developers, and ML engineers to define solution / product requirements and successfully deliver the final solution
• Lead and work with a team of AI engineers, data scientists, devops engineers and developers, providing essential guidance and support throughout project lifecycles
• Demonstrate strong communication skills and proficiency in proposal creation, facilitating effective presentation of results to senior client stakeholders
• Preferred prior experience in Generative AI, with the ability to construct solutions through model fine-tuning, utilizing techniques such as RAG, LLMs, etc., on cloud platforms such as AWS, Azure, or GCP
• Proficiency in using cloud technologies (AWS, Azure) for AI / ML engineering is highly preferred

Skills Required

data engineering , Ml, Cloud Technologies, Data Science, Gcp, Statistical Modeling, Ai, Azure, Aws