Job Description Summary

Job Description

Essential Responsibilities:

• Be part of the team supporting the development of applications using Machine Learning and Generative AI technologies, including but not limited to Large Language Models (LLMs) and Vision Models.
• Support the development and management of site data acquisition system applications, ensuring reliability and efficiency.
• Work effectively on assigned projects in the field of Steam Turbine engineering application development, delivering solutions aligned with project goals and timelines.
• Collaborate closely with the design community to identify business needs, define problem statements, develop functional specifications, and support software development.
• Document technical data generated during assigned projects in accordance with organizational policies and procedures, ensuring accuracy and compliance.

Qualifications/Requirements:

• Bachelors/master’s in computer science (Specialization in AI/ML and Data Sciences).

Skill Set requirements:

• Proficiency in programming languages such as Python and Java, with strong analytics skills and exposure to web services.
• Knowledge of site data acquisition and transport methodologies.
• Solid understanding of data structures, algorithms, and computer architectures, with the ability to write highly optimized code.
• Experience in data modeling and applied mathematics. Hands-on experience building models with deep learning frameworks to solve problems involving data approximations to partial differential equations (PDEs).
• Experience developing and deploying models using Flask, Django, AWS, Azure, or other cloud services.
• Strong knowledge of relevant statistical, mathematical, and computational concepts.
• Ability to collaborate effectively, work in a team, and maintain a respectful and inclusive working environment.
• Excellent written, verbal communication, presentation, and organizational skills.
• A curious mindset with the ability to think critically and creatively.
• Interest in learning the latest technologies and methods, with a research-oriented approach to finding new and unconventional ways to solve complex problems.

Additional Information