AI/ML Engineer

Requirements

• Bachelor's degree or higher in computer science, statistics, mathematics, or a related field
• Hands-on development experience, using typical machine learning and data science tools such as pandas, scikit-learn, and TensorFlow/PyTorch
• Experience with the latest techniques in natural language processing including vector databases, computer vision processing, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI, etc.
• Familiarity with Databricks products and services
• Have working knowledge of CI/CD
• Effective communication, documentation, and white-boarding skills
• Strong interest in collaboration, learning, and driving value through ML
• Strongly Preferred
• At Renesas, you can:
• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
• Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
• Are you ready to own your success and make your mark?
• Join Renesas. Let's Shape the Future together.

Benefits

Additional Information

As an AI/ML Engineer, you will design and develop scalable and reliable artificial intelligence and machine learning models for various domains and applications. About our team Our AI Development team focuses on building enterprise-grade AI solutions to drive business impact across multiple domains. The team is covering the full AI lifecycle from data preparation to production deployment. We work closely with business stakeholders to translate requirements into scalable and practical AI solutions. Our environment emphasizes strong engineering practices, collaboration, and continuous improvement. As part of a growing team, you will have opportunities to shape technical decisions and contribute to strategic AI initiatives. Job Description Train, evaluate, and deploy AI/ML models using Databricks MLflow Prepare and augment training datasets for models Develop AI and LLM solutions based on business requirements using approaches such as RAG architecture on enterprise data Collaborate with data scientists and Full stack ai engineers, and domain experts on cross-functional projects using Databricks Workspaces Research and evaluate new AI/ML technologies and Databricks best practices

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Company Intel

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