Capgemini is Hiring: AI/ML Expert | Bangalore | 12+ Years Experience

12 - 22 years

25 - 40 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Your role

As a AI/ML Expert with Capgemini, You will leverage expertise in artificial intelligence, machine learning, and Android Automotive OS to develop cutting-edge features that enhance driver safety, user experience, and vehicle autonomy. You will collaborate with cross-functional teamsincluding software engineers, automotive OEMs, and data scientists—to design, implement, and deploy on-device AI/ML solutions for embedded automotive environments. This position offers the opportunity to shape the future of connected vehicles, bridging AI technologies with real-world automotive applications.

In this role you will play a key role in:

  • Develop, and optimize machine learning models for Android Automotive OS, including on-device inference for features like advanced driver-assistance systems (ADAS), predictive maintenance, and personalized in-vehicle experiences.
  • Build and integrate AI-powered applications across the automotive stack, from hardware abstraction layers (HAL) to API design and framework-level systems, ensuring compatibility with vehicle sensors and embedded constraints.
  • Collaborate with automotive partners to prototype, test, and deploy ML solutions that improve performance, such as real-time navigation, voice-assisted interfaces, and anomaly detection in robotics/manufacturing pipelines.
  • Lead end-to-end AI/ML projects: from data collection and model training (using frameworks like TensorFlow Lite or PyTorch Mobile) to evaluation, deployment, and monitoring in production automotive environments.
  • Mentor junior engineers, conduct code reviews, and contribute to technical strategy, including advising on AI ethics, scalability, and integration with multimodal foundation models.
  • Troubleshoot and iterate on systems to handle high-stakes scenarios, such as low-latency processing in safety-critical applications.
  • Stay abreast of industry trends in automotive AI, including generative AI for simulations and edge computing for autonomous driving.


Your profile

  • Proven track record in building and shipping on-device ML/AI products, including experience with embedded systems, data structures/algorithms, and automotive-specific challenges (e.g., real-time constraints, power efficiency) with 8-12 Yrs Exp (ML – 3 to 4 Years)

  • Strong proficiency in Python, Java/Kotlin, Base C++, and ML libraries (e.g., TensorFlow or PyTorch or scikit-learn); familiarity with automotive protocols like CAN bus or VHAL (Vehicle HAL).

  • Experience with AI/ML in automotive contexts or such as ADAS or robotics or sensor fusion; knowledge of testing, maintaining, and launching software in regulated environments.

Proficient in Machine Learning (ML) algorithms, Computer Vision, Deep Learning, Sensor Fusion, and Reinforcement Learning for developing autonomous driving, smart safety features, and predictive

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Capgemini

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