Role overview

Job Overview:

Requirement/Must Have:

1+ years of experience in system design, development, and validation methodologies.
Deep understanding of relevant regulations, standards, and best practices.
Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
Proficiency in data analysis and modeling techniques.
Ability to develop and implement AI/ML models for system validation and optimization.
Knowledge of AI/ML best practices and industry standards.
Experience with AI/ML tools and libraries.
Strong understanding of neural networks and deep learning techniques.
Ability to work with large datasets and perform data preprocessing and feature engineering.
Hands-on experience designing and implementing LLM powered agents and Retrieval Augmented Generation (RAG) pipelines, including prompt orchestration, tool calling, vector store indexing strategies, and evaluation of end-to-end agentic workflows.
Experience in integrating AI/ML solutions into existing systems and workflows.
Strong analytical/problem-solving skills and pronounced attention to details.
Must be a self-starter, and able to independently drive tasks to completion.

Responsibilities:

Driving technical innovation to improve ML/AI capabilities across validation, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives.
Designing and implementing machine learning models and algorithms to solve complex problems.
Monitoring and evaluating the performance of AI/ML models and making necessary improvements.
Documenting processes, models, and algorithms for future reference.
Collaborating with cross-functional teams to integrate AI/ML solutions into various applications.

Qualification And Education: