Description

As an AI Engineer in the Harman Automotive AI Lab, you will design and implement cutting-edge machine learning systems, collaborate with cross-functional teams, and drive operational efficiency through innovative solutions in engineering workflows.

Requirements

• •Master’s degree in Computer Science, Machine Learning, or related field
• •5+ years of hands-on experience building and deploying ML systems in production environments
• •Strong experience with cloud platforms (AWS, Azure) for data processing, training, and model deployment
• •Proficiency in Python and core ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• •Solid understanding of machine learning system design: pipelines, model lifecycle, performance tuning, and monitoring
• •Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker)
• •Familiarity with LLMs, prompting techniques, and inference strategies for GenAI solutions
• •Strong software engineering skills: object-oriented design, version control, unit testing, and clean code principles
• •Ability to work independently and collaboratively in a fast-paced, cross-functional environment
• •Willingness to travel up to 10%, domestic and international travel

Tasks

• •Design advanced machine learning systems
• •Implement and productize ML solutions
• •Translate business and technical requirements into ML solutions
• •Deploy production-grade ML models and systems
• •Conduct experiments and evaluate new algorithms
• •Innovate productization approaches using LLMs and GenAI
• •Build and maintain data and ML pipelines
• •Monitor and optimize ML systems for performance
• •Contribute to MLOps practices and automated monitoring
• •Collaborate with ML engineers, data scientists, and software engineers
• •Stay updated on ML/AI research and advancements

Tools & Technologies

Benefits