AI/ML Tech Lead

You will be joining Rockwell Automation as an AI/ML Tech Lead where you will be responsible for leading the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. Your role will involve collaborating with cross-functional teams to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. The position is based in Pune, Noida, or Bangalore, India. - Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. - Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle from ideation and prototyping to production deployment and monitoring. - Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. - Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - Mentor and evangelize: Provide technical leadership and mentorship to AI Engineers and data professionals, while promoting AI adoption and architectural vision across the organization. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience designing and implementing AI solutions in production environments. - Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Demonstrated experience leading complex AI projects with cross-functional teams. - Proven track record of delivering AI solutions that drive business outcomes. - Experience with ethical AI practices and compliance with data protection regulations.,