Research Scientist – OR / ML

• Develop novel OR/ML algorithms and methodologies applicable to asset performance management and operations optimization problems.
• Analyse large datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment.
• Design and conduct experiments to test the performance and robustness of algorithms for production deployment.
• Document research findings, methodologies, and implementation details for patent disclosures and peer-reviewed publications.
• Collaborate with cross-functional global teams, including engineers, researchers, and product managers, to integrate AI solutions into existing system platforms.
• Keep abreast of the latest advancements in OR/ML through literature and participation in relevant conferences and seminars.

Required Qualifications:

• PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience with a focus on operations Research, machine learning, or statistics.
• Specific areas of required expertise are: Mathematical Programming, Discrete Event Simulation, Stochastic Optimization, Machine Learning, Time Series Analysis
• Proficiency in programming languages and packages commonly used in AIML applications such as Python, Tensor Flow, PyTorch, Pandas, Numpy, Gurobi/CPLEX or similar.
• Familiarity with software development best practices, including version control (e.g., Git), and agile methodologies.
• Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.

Desired Characteristics:

• Strong foundations in the design, analysis, and implementation of algorithms in different computing architectures are desired.
• Experience of working in industrial domains (Power, manufacturing, etc.)
• Enthusiastically follow technology trends, engineering best practice and technologies while enjoying the challenge of solving complex problems
• Self-starter and can work in ambiguous environments
• Excellent problem-solving skills and ability to think critically and creatively
• Strong communication skills and ability to work effectively in a collaborative team environment.