ML/AI Systems Design Engineer

• Seeking an innovative ML/AI Systems Design Engineer to drive machine learning and artificial intelligence initiatives focused on system validation, optimization, and technical innovation.
• The ideal candidate will design and implement AI/ML solutions, collaborate with cross-functional teams, and support the integration of intelligent systems into enterprise applications and workflows.

Requirement/Must Have:

• Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, or a related field.
• Strong proficiency in system design, development, and validation methodologies.
• Deep understanding of industry regulations, standards, and best practices related to AI/ML systems.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Strong proficiency in data analysis, modeling techniques, and feature engineering.
• Experience designing and implementing AI/ML models for system validation and optimization.
• Strong understanding of neural networks and deep learning techniques.
• Ability to work with large datasets and perform data preprocessing activities.
• Experience integrating AI/ML solutions into existing systems and workflows.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work independently and drive tasks to completion.

Experience:

• Experience with AI/ML tools, libraries, and best practices.
• Hands-on experience designing and implementing LLM-powered agents and Retrieval-Augmented Generation pipelines.
• Experience with prompt orchestration, tool calling, vector store indexing strategies, and evaluation of agentic workflows.
• Experience monitoring and evaluating machine learning model performance.
• Experience collaborating with cross-functional engineering and technical teams.
• Experience documenting AI/ML models, processes, and algorithms.

Responsibilities:

• Drive technical innovation across AI/ML capabilities and validation methodologies.
• Design and implement machine learning models and algorithms to solve complex technical problems.
• Monitor, evaluate, and improve the performance of AI/ML models.
• Document AI/ML processes, algorithms, and system designs for future reference.
• Collaborate with cross-functional teams to integrate AI/ML solutions into applications and workflows.
• Support enhancement of validation methodologies, technical procedures, and optimization strategies.
• Develop and maintain scalable AI/ML systems and workflows.
• Participate in internal and cross-functional technical initiatives related to AI and machine learning.

Should Have:

• Experience with Large Language Models and generative AI systems.
• Strong understanding of Retrieval-Augmented Generation architectures.
• Ability to work in fast-paced research and engineering environments.
• Strong communication and collaboration skills.

Skills:

• Machine Learning.
• Artificial Intelligence.
• TensorFlow.
• PyTorch.
• Neural Networks.
• Deep Learning.
• Data Modeling.
• Data Preprocessing.
• Feature Engineering.
• Large Language Models (LLMs).
• Retrieval-Augmented Generation (RAG).
• Prompt Engineering.
• Vector Databases.
• AI Agent Development.
• System Validation.
• Python.
• Data Analysis.

Qualification And Education:

• Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, or a related field.