ML/AI SYSTEMS DESIGN ENGINEER
THE ROLE:
We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of product, you will be part of a leading team to drive and improve abilities to deliver the highest quality, industry leading technologies to market. The Validation Architecture team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.
THE PERSON:
As a Systems Design Engineer ML/AI, you will drive balanced, scalable AI/ML validation solutions. In this high visibility position, your design and implementation will be necessary towards product development, definition, and root cause resolution.
KEY 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
PREFERRED EXPERIENCE:
• Proficiency in system design, development, and validation methodologies
• Deep understanding of relevant regulations, standards, and best practices
• Experience with machine learning algorithms and frameworks (, 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
ACADEMIC CREDENTIALS:
• Bachelors or Masters degree in electrical or computer engineering
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