ML/AI Systems Design Engineer

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:

• Bachelors or Masters degree in electrical or computer engineering.