Practice Head { AI / ML } | 18Y+ | Pune | Locals Only | Hybrid (3 Days WFO) |

We're looking for an experienced Practice Head AI/ML to lead and scale our Artificial Intelligence practice, shape AI strategy, mentor large teams, and deliver innovative solutions across Machine Learning and Generative AI initiatives. Practice Head (AI / ML) | 18Y+ | Pune | Locals Only | Hybrid (3 Days WFO) | Work Model: Hybrid (3 Days Office + 2 Days Remote) Employment Type: Full-Time IMP Notice: Prefer locals from Pune who are active to attend F2F interviews as above. (MUST) Must Have: Led and managed 100+ member AI/ML teams Strong experience in AI/ML Practice Leadership Expertise in Generative AI, LLMs, and RAG architectures Deep knowledge of Machine Learning & Deep Learning Hands-on exposure to MLOps frameworks and deployment strategies Experience with AWS / Azure / GCP cloud platforms Ability to drive business growth, delivery excellence, and stakeholder engagement Education Qualification: M.E / M.Tech / MCA / BE / B Tech - qualified from a premium / reputed instituion. Interview Process: 1 Technical Discussion Round 1 2 Technical Leadership Discussion Round 2 3 Face-to-Face Interview (Mandatory) - @ Pune If you're passionate about shaping the future of AI and have the leadership experience to scale world-class teams, we'd love to hear from you. Apply Now! We're looking for an experienced Practice Head AI/ML to lead and scale our Artificial Intelligence practice, shape AI strategy, mentor large teams, and deliver innovative solutions across Machine Learning and Generative AI initiatives. Practice Head (AI / ML) | 18Y+ | Pune | Locals Only | Hybrid (3 Days WFO) | Work Model: Hybrid (3 Days Office + 2 Days Remote) Employment Type: Full-Time IMP Notice: Prefer locals from Pune who are active to attend F2F interviews as above. (MUST) Must Have: Led and managed 100+ member AI/ML teams Strong experience in AI/ML Practice Leadership Expertise in Generative AI, LLMs, and RAG architectures Deep knowledge of Machine Learning & Deep Learning Hands-on exposure to MLOps frameworks and deployment strategies Experience with AWS / Azure / GCP cloud platforms Ability to drive business growth, delivery excellence, and stakeholder engagement Education Qualification: M.E / M.Tech / MCA / BE / B Tech - qualified from a premium / reputed instituion. Interview Process: 1 Technical Discussion Round 1 2 Technical Leadership Discussion Round 2 3 Face-to-Face Interview (Mandatory) - @ Pune If you're passionate about shaping the future of AI and have the leadership experience to scale world-class teams, we'd love to hear from you. Apply Now!