US MNC seeking an AI Engineer with around 2-3 years of experience to
- Design, develop, deploy, and operationalize agentic AI systems and scientific machine learning solutions that automate complex, multi-step technical workflows
- Build LLM-driven, goal-oriented AI agents and data-driven models for physical systems, integrating them with data, tools, sensors, and simulation workflows.
- Create data pipelines for preprocessing, feature extraction, and integration of time-series and spatial data
- Deploy and operationalize AI/ML models and agents as scalable services or APIs
- Implement monitoring, evaluation, and validation for both agent systems and ML models
- Visualize data and model outputs to support analysis and decision-making
- Collaborate with domain experts to integrate AI into engineering and simulation workflows, and document reusable solutions
Must have requirements
- Strong Python programming and ability to build end-to-end AI/ML solutions
- Hands-on experience with Agentic AI systems including workflow orchestration
- Experience with developing scientific machine learning systems with experimental or simulation data
- Strong background in mathematics specifically in Linear Algebra and computation.
Please include a write-up to illustrate your relevance in all of above 4 requirements - only applicants who demonstrate strong relevance will be considered, thank you.
R1108900