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Sr. AI Engineer, Backend (Altium)

Renesas Electronics
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
pythonpytorchscikit-learntensorflow

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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
  • Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software-defined world with our industry-first cloud-based platform that unites every stakeholder and phase of electronics development.
  • From startups to world’s technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development.
  • We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
  • 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.

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

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