Java Programming, Python Programming, React.js, Azure, AWS, Apache Hadoop, Pandas, Google Cloud Platform (GCP), PostgreSQL, R Programming, Algorithms, Flask, Statistical modeling, AutoML
This role will perform technical execution and development of Digital Twin Analytics related to GE Digital’s Industrial Vertical end customers and commercial software applications.
Job Description
Roles and Responsibilities
As a senior analytics machine learning engineer, you will be responsible for the development of analytic modules in commercial software development environment, you will be independently study and transform data science prototypes, design machine learning and advanced analytics systems, research and implement appropriate ML algorithms and tools, develop machine learning and advanced analytics applications according to requirements
In this role, you will:
NOTE: This role will be hybrid work location in the U.S.
Education Qualification
For roles outside USA:
For roles in USA: Bachelor's Degree in Computer Science or STEM” Majors (Science, Technology, Engineering and Math) preferred with minimum years of experience 4 years
Desired Characteristics
Technical Expertise:
Business Acumen:
Leadership:
Personal Attributes:
Note
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.
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