Machine Learning Engineer

GE Vernova is hiring for the role of Machine Learning Engineer!

Responsibilities of the Candidate:

• Demonstrate novel & transformational applications/analytics to drive innovation & differentiation.
• Define the framework to collect, structure and use of databases for AI, to extract value.
• Develop AI/ML application to build differentiated products and solutions; with ability to work on customers value-driven applications/analytics to drive innovations.
• Design and deploy high-quality, scalable, and secure AI/ML models and applications on edge or cloud, using native or container or microservices principles.
• Monitor, maintain, and optimize deployed AI/ML models, ensuring continuous improvements in model’s accuracy and performance.
• Develop and implement strategies for optimizing the performance of machine learning models in production.

Requirements:

• Masters/PhD Degree in computer science, Information technology (IT), or electrical engineering, specifically in the computer and electric power engineering field with hands-on experience in data science and AIML model building.
• 1+ years of experience of working in professional working environment and knowledge of statistical techniques, artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, reinforcement learning, Deep learning, and large language models (LLMs).
• Strong expertise in algorithms, libraries (e.g., scikit-learn), machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and data processing tools.
• Proven experience in applying AI/ML frameworks/workflows in the production environment.
• Usage of MLOPs to streamline the process of taking/updating ML models to production.
• Able to share ideas and work well in a team environment, proactive approach to tasks displaying initiative.
• Flexible and adaptable; open to change and modification of tasks, working in multi-tasking environment.