Delivery Head AI & Robotics

Role: Delivery Head – AI & Robotics Solutions for Manufacturing

Job Location: Pune

Required Qualifications:

• Education: Master's degree in Engineering, Computer Science, Business Administration, or a related technical field. An MBA or equivalent experience in senior leadership is strongly preferred.

Experience:

• 12+ years of experience in project delivery and operations within AI, robotics, or industrial automation, with at least 5 years in a senior leadership role.
• Proven success in delivering large-scale, high-impact projects in manufacturing or related industries, with an emphasis on AI and robotics integration.
• Deep understanding of quality assurance, system integration, and risk management in complex technical projects.

Core Competencies:

• Strategic Vision: Ability to see the big picture, create long-term plans, and guide teams toward strategic goals.
• Leadership: Strong track record of building, mentoring, and managing high-performance, cross-functional teams in a fast-paced environment.
• Technical Expertise: Comprehensive knowledge of AI, machine learning, robotics, edge computing, and related technologies, with a strong grasp of integration challenges.
• Analytical & Problem-Solving Skills: Strong analytical skills to identify issues, evaluate solutions, and make data-driven decisions.
• Financial Acumen: Proficiency in budgeting, cost control, and financial tracking related to project delivery.
• Project Management and Quality Certifications: Certifications in project management (e.g., PMP, PRINCE2, and Agile) and quality management (e.g., Six Sigma, Lean) are highly valued.

Technical Skills:

• Programming Languages: Proficiency in Python, Java, C++, or other languages commonly used in AI and robotics development.
• AI & Machine Learning: Deep understanding of machine learning algorithms, neural networks, and frameworks such as TensorFlow, PyTorch, or Keras.
• Robotics: Familiarity with robotics frameworks like ROS (Robot Operating System), and experience with robot control systems and kinematics.
• Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling AI and robotics solutions.
• Big Data Technologies: Knowledge of big data processing tools like Hadoop, Spark, or Kafka for handling large-scale data in manufacturing environments.
• IoT and Edge Computing: Understanding of IoT protocols, edge devices, and edge computing paradigms for real-time data processing in manufacturing settings.
• Version Control & CI/CD: Proficiency with Git and CI/CD tools like Jenkins, GitLab CI, or GitHub Actions for managing code and automating deployments.
• Data Visualization: Skills in using data visualization tools like Tableau, Power BI, or D3.js to present insights from AI and robotics systems.
• Database Management: Knowledge of both SQL and NoSQL databases for managing diverse data types in AI and robotics applications.