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General Electric Research Scientist - Machine Learning / Research Scientist - Enterprise Operations Research in Bengaluru, India

Job Description Summary

We are looking to grow our Physical Digital Analytics team at GE Research, Bangalore, India. We are looking for top notch researchers to be part of this exciting journey. We innovate and execute Analytics technologies that combine domain knowledge with advanced operations research, machine learning and text mining algorithms to deliver improved outcomes for our industrial businesses including Healthcare, Power, Aviation, and Renewables.

Job Description

Roles and Responsibilities

The Physical Digital Analytics group ( ) is passionate about combining domain models with Operations Research, Machine Learning and Natural Language Processing, for industrial applications like Medical equipment for the Healthcare, Power (Gas, Wind, Steam), Aviation & Manufacturing sectors to prevent failures in these equipment, increase their life and optimize their performance. The applicant should be highly passionate and an enthusiastic player for solving applied research problems in industrial segments discussed above by building and implementing algorithms for operations optimization and machine learning. The applicant should have shown research experience in the areas of analytics with a strong mathematical skill and ability to connect physics-based methods with advanced Artificial Intelligence techniques. The candidate is expected to document results in patent disclosures and high-quality peer reviewed publications. Should be eager to work in a global team, work with GE Business and customers to define problems, work with experienced and dynamic researchers to develop next generation Industrial AI breakthroughs. The applicant should be a great teammate and willing to get involved into interdisciplinary research.

Required Qualifications

  • Minimum of Master’s degree in Industrial, Electrical, Mechanical or related Engineering field with specialization in Operations Research / Machine Learning/ Statistics.

  • Specific areas of required expertise are: Mathematical Programming, Discrete Event Simulation, Stochastic Optimization, Model Order Reduction, Mathematical modeling, Estimation theory, Bayesian Estimation, Frequentist Statistics

  • Experience of working in industrial domains (Aviation, Energy, Healthcare, 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 communication skills

Desired Characteristics

  • PhD Degree with proven research capability is a strong plus for the candidates.

  • Strong foundations in design, analysis, and implementation of algorithms in different computing architectures is desired.

  • Expertise in Deep Learning techniques as applied to industrial data

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Global Research (GRC) is the central research arm for the GE company and is one of the oldest and most diverse industrial research labs. At GE Global Research, we’re redefining what’s possible. From cutting-edge research in molecular pathology for use in personalized cancer diagnostics to programs in creating world’s most efficient gas turbine or world’s largest wind turbine, our work at Global Research is world-renowned. As part of our team, you’ll find yourself among nearly 1500 scientists and engineers from every discipline in a dynamic atmosphere where you’ll be constantly challenged to learn and grow. You’ll have access to leaders on all levels of the organization and collaborate across the globe with the very best in the field. If you have an insatiable intellectual curiosity and the ability to articulate your vision, then join us and watch the work you do create the next generation of products and processes that will impact the globe for generations to come.

At GE Global Research we redefine what's possible, finding answers to some of the world's toughest problems. Find out more at or, and connect with our technologists at and

GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.

Additional Information

Relocation Assistance Provided: No