Job Title: AIML - ADAS
Group: ADAS/AD
BU : CARIAD Business Unit - India
Location : Whitefield, Bangalore
Experience: 8 to 12 years
About CARIAD (Car, I Am Digital)
CARIAD is an automotive software company that bundles together Volkswagen Groups software competencies and further expands them, building upon a heritage of bringing automotive innovation to everyone. CARIAD is building a unified technology and software platform, including a vehicle OS, vehicle cloud platform and a new unified architecture for all of Volkswagen Group s brands. The brand profile can be found on its website - https://cariad. technology
CARIAD India operates under a brand licensing agreement with Germany-based CARIAD SE. So, here s a chance to innovate and transform automotive mobility!
Youll join a team of 360 skilled experts and developers at CARIAD India and around 6, 000 CARIDIANs globally, who bring with them a wealth of experience and knowledge. The areas of work involve development of platform components such as firmware, boot loaders, AUTOSAR, Linux/QNX BSP, Service oriented architecture-based middleware components.
To explore an exciting & progressive career at CARIAD India:
Visit us at: www. embitel. com
Follow us at LinkedIn: linkedin. com/company/268681/
Job Description:
ML ops skillset:
1. Design and implement cloud solutions, build MLOps on Azure cloud
2. Build CI/CD pipelines and Automation using Github CI, GitHub Actions or similar tools
3. Experience in development of scalable tools for model training and model interference
4. Model: Refactoring and optimization, containerization, deployment, versioning, and monitoring
5. Model testing, validation, and tests automation
6. Worked on Azure cloud for Data Engineering [Data Preprocessing, Data cleaning, Data transformation, Data Injection] and Pipeline
7. Experience in creating visualization for Data and model metrics in cloud environments and linked with CI/CD/CT
AI Skills:
1. Develop machine learning models and AI solutions (Preferred: experience in IN CABIN monitoring function]
2. Experience in Model optimization, Quantization for deploying cloud model in Edge Devices. 3. Experience with QNN APIs
3. Proficiency in Machine Learning Frameworks: Familiarity with frameworks such as TensorFlow, PyTorch, and ONNX
4. Proficiency in programming languages such as Python, C++
5. 8. Work experience in Bazel scripts
6. Work experience in Linux development environment