Posted:1 day ago|
Platform:
On-site
Part Time
. Assist in developing, training and optimizing ML/DL models (NLP, reinforcement learning etc.)
. Preprocess and analyze large datasets for model training
. Implement and test algorithms in frameworks like Tensor Flow and Pytorch
. Deploy models using cloud services (AWS/Azure) or edge devices for GridOS product and Customers
. Contribute to AI prototyping
. Support end customers post deployment of the solutions and resolve bugs.
. Deep Dive into research papers in AI/ML domain and come up with ideas to design and develop new models for power system domain
Education Qualification
Master of Technology in Computer Science with Specialization in Artificial Intelligence from a reputed university.
Desired Characteristics
Technical Expertise:
Comfortable in building features such as web services and Queries on existing tables.
Aware of methods and practices such as Lean/Agile/XP, etc.
Prior work experience in an agile environment, or introductory training on Lean/Agile. Aware of and able to apply continuous integration (CI).
General understanding of the impacts of technology choice to the software development life cycle.
Note:
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
Relocation Assistance Provided: Yes
GE Vernova
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