Description :

- Lead the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product innovation.

- Oversee the analysis of extensive datasets to identify complex patterns, trends, and insights, with an emphasis on diagnostics and prognostics for large-scale energy equipment.

- Architect and optimize AIML algorithms and models to ensure superior performance and scalability.

- Design, conduct, and supervise experiments to assess the efficacy and reliability of AIML-based solutions.

- Document and disseminate research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference.

- Collaborate with and guide cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms.

- Stay at the forefront of advancements in AIML, control systems, and signal processing engineering, through literature reviews, and active participation in conferences and seminars.

- Lead research initiatives to conceptualize and develop AI solutions for complex industrial challenges.

- Mentor junior researchers and contribute to project leadership, ensuring alignment with strategic objectives.

- Demonstrate the impact of AI through advanced prototypes and solutions that address real-world problems.

- Utilize and advocate for best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.

- Drive intellectual property development by authoring invention disclosures and filing patents.

- Publish research in high-impact scientific journals and present findings at leading conferences.

Required Qualifications :

- PhD with 5-10 years of relevant experience or a master's with 8-13 years of relevant experience from a reputed institution.

- Extensive understanding and experience in machine learning, artificial intelligence, and related fields.

- Proven track record of applying multiple advanced AIML concepts to practical applications.

- Proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others.

- Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies.

- Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively.

- Superior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment.

- Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility.