Research Scientist - AIML

pment of state-of-the-art prognostics, diagnostic and modelling solutions.

Job Description

Roles and responsibilities

• Develop innovative algorithms and methodologies in artificial intelligence and machine learning (AIML) tailored for process and product development.

• Analyze extensive datasets to identify patterns, trends, and insights, focusing on diagnostics and prognostics for large-scale energy equipment.

• Implement and enhance AIML algorithms and models for optimal performance.

• Design and execute experiments to evaluate the efficacy and reliability of AIML-based solutions.

• Document research findings, methodologies, and implementation details for effective knowledge sharing and future reference.

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

• Stay informed on advancements in AIML, control systems, and signal processing engineering through literature reviews and participation in relevant conferences and seminars.

• Research, conceptualize, and develop AI solutions for complex industrial challenges.

• Work collaboratively with fellow researchers on ongoing and new projects.

• Demonstrate the value of AI through early prototypes and solutions addressing real-world problems.

• Utilize software libraries, tools, and practices to implement efficient, scalable, and reusable solutions.

• Contribute to intellectual property development by writing invention disclosures and filing patents.

• Publish research in scientific journals and present findings at conferences.

Required Qualifications

• PhD or master's degree from a reputed institution.

• Strong understanding of fundamental concepts in machine learning and artificial intelligence.

• Demonstrated application of one or more of the following concepts.

• Proficiency in programming languages commonly used in AIML applications such as Python, TensorFlow, PyTorch, Pandas, or similar.

• Experience with data analysis and manipulation using tools like pandas, NumPy, etc. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.

• Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment.

• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

Additional Information

Relocation Assistance Provided: Yes