Data Science Intern

Sr. AI Engineer, Backend (Altium)

Company Description

Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.

Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.

Job Description

Transforming Sourcing into a Competitive Advantage is the mission of Part Analytics, an Altium Company. Our AI-powered supply management software empowers manufacturing companies to accelerate product development, improve profit margin and uncover hidden risks in the supply chain. 

We are looking for an AI Engineer who will play a foundational role in building AI-driven capabilities within our product ecosystem. This role requires someone who can work independently, take end-to-end ownership, and translate business problems into scalable AI solutions. 

You will collaborate closely with product, engineering, and leadership teams to introduce AI features that create real business value. 

Responsibilities :

• Deeply understands LLM Capabilities and limitations 

• Architect multi-step Agentic systems that reason and not just generate 

• Build retrieval-augmented generation (RAG) pipelines and AI-powered workflows. 

• Build evaluation infrastructure to know when things work 

• Ship production code with proper observability, error handling, and reliability 

• Design, build, and deploy AI/ ML solutions aligned with product goals 

• Identify use cases for AI within existing products and workflows 

• Work with structured and unstructured data to derive insights 

• Integrate AI models into production systems (APIs, services) 

• Monitor model performance and continuously improve accuracy and efficiency 

• Define AI best practices, documentation, and standards for the organization 

• Guide developers on AI adoption and implementation 

Qualifications

Required experience: 

• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, Mathematics or Statistics  

• 5+ years of experience in Machine Learning and demonstrable experience in AI and Agentic systems  

• Strong proficiency in Python  

• Hands-on experience with ML frameworks such as TensorFlow / PyTorch / Scikit-learn  

• Experience with NLP, recommendation systems, or predictive analytics  

• Strong understanding of Algorithms, statistics, data structures  

• Experience of MLOps, model monitoring, and versioning  

• Experience in deploying AI models at scale using CI/CD pipelines and monitoring tools  

• Responsible for defining KPIs for AI models (accuracy, latency, cost optimization).  

• Ability to translate technical solutions into business value and communicate with stakeholders  

• Lead AI initiatives, mentor team members, and define best practices for scalable and ethical AI solutions.  

• Strong communication skills to collaborate with cross-functional teams and present AI-driven insights to leadership  

• Ability to work independently and take ownership  

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.

With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’     

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.  

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Experience Level

Senior Level