Lead the design, development, validation, and deployment of advanced AI, machine learning, optimization, and analytics solutions for strategic business challenges at Kanadevia Inova. Act as the organization's AI and Data Science subject matter expert, driving the adoption of best-in-class methodologies and emerging technologies. Define and maintain standards for experimentation, model validation, MLOps, monitoring, explainability, and lifecycle management. Collaborate with product, engineering, and business stakeholders to develop AI-driven use cases, influence product strategy, and guide architecture decisions. Mentor technical teams, promote innovation and analytical thinking, and ensure AI solutions meet regulatory, security, and governance requirements. Qualifications: Proven experience delivering multiple production-grade AI/ML solutions from concept through operations. Strong expertise in machine learning, MLOps, cloud platforms, data engineering, and software development practices. Experience across the full AI solution lifecycle, including PoC, MVP, industrialization, deployment, and support. Demonstrated technical leadership with a successful track record of mentoring and developing technical talent. Relevant industry experience and the ability to translate business needs into scalable AI-driven solutions.

Lead the design, development, validation, and deployment of advanced AI, machine learning, optimization, and analytics solutions for strategic business challenges at Kanadevia Inova. Act as the organization's AI and Data Science subject matter expert, driving the adoption of best-in-class methodologies and emerging technologies. Define and maintain standards for experimentation, model validation, MLOps, monitoring, explainability, and lifecycle management. Collaborate with product, engineering, and business stakeholders to develop AI-driven use cases, influence product strategy, and guide architecture decisions. Mentor technical teams, promote innovation and analytical thinking, and ensure AI solutions meet regulatory, security, and governance requirements. Qualifications: Proven experience delivering multiple production-grade AI/ML solutions from concept through operations. Strong expertise in machine learning, MLOps, cloud platforms, data engineering, and software development practices. Experience across the full AI solution lifecycle, including PoC, MVP, industrialization, deployment, and support. Demonstrated technical leadership with a successful track record of mentoring and developing technical talent. Relevant industry experience and the ability to translate business needs into scalable AI-driven solutions.