AI Solutions Manager

2 weeks ago

Bengaluru, Karnataka, India Qode Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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:

· 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.

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