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职位GE Vernova

Research Scientist - AIML

GE Vernova

Research Scientist - AIML

GE Vernova

Bengaluru

·

On-site

·

Full-time

·

2w ago

Job Description Summary

GE Vernova’s Advanced Research business is the central innovation engine for GE’s portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 400+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.
We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Research Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development 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, Tensor Flow, Py Torch, Pandas, or similar.
  • Experience with data analysis and manipulation using tools like pandas, Num Py, 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

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关于GE Vernova

GE Vernova

GE Vernova, Inc. is an energy equipment manufacturing and services company headquartered in Cambridge, Massachusetts.

10,001+

员工数

Boston

总部位置

$16B

企业估值

评价

3.6

10条评价

工作生活平衡

2.8

薪酬

4.0

企业文化

4.1

职业发展

2.9

管理层

2.7

65%

推荐给朋友

优点

Supportive management and great team culture

Excellent benefits and compensation

Professional development opportunities

缺点

Heavy workload and overtime expectations

Limited growth and advancement opportunities

Poor management responsiveness

薪资范围

143个数据点

Junior/L3

L3

Staff/L6

Junior/L3 · Data Scientist

0份报告

$30,681

年薪总额

基本工资

-

股票

-

奖金

-

$26,079

$35,284

面试经验

4次面试

难度

3.3

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Hiring Manager Interview

5

Final Technical Round

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm