Job Description
The candidate will demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables and project delivery throughout the project lifecycle. The candidate is expected to be conversant with Agile methodologies and tools
Experience on data analysis, AI/ML model development and related development environment that enables AI/ML algorithms for use on various processors or systems
Hands on experinece on ML/DL models such as time series modeling, anomaly detection, root cause analysis, diagnostics, prognostics, pattern detection, data mining, etc.
Has good knowledge of computer vision, transformers, NLP techniques, knowledge graphs, LLMs and fine-tuning LLMs and SLMs
Good understanding of electrical, electronics or mechanical engineering concepts
Work with a team of experts in deep learning, machine learning, distributed systems, program management, and product teams, and work on all aspects of design, development and delivery of end-to-end pipelines and solutions.
Development of technical solutions and implement architectures for project and products along with data engineering and data science teams
Participate in architecture, design, and development of new intelligent power technology products and production quality end to end systems
Ability to work with and collaborate with Data Engineers, DevOps, MLOps, QA and UI/UX teams to execute and deliver projects
