
Posted 2 months ago
Data and AI/ML Design engineer at NE-VM
AI Summary
Designs, builds, and deploys scalable ML models and data pipelines for automotive AI solutions, integrating data engineering with deep learning on embedded hardware.
About this role
Data and AI/ML Design engineer at NE-VM
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
We are looking for a highly skilled Data and AI/ML Design Engineer to join our NE-VM AI solution development team. You will be responsible for designing, building, and deploying scalable machine learning models and data pipelines that enhance features / system / software development processes. The ideal candidate will blend strong data engineering capabilities with deep learning expertise to create, optimize, and deploy AI models (computer vision, sensor fusion, predictive maintenance) onto embedded automotive hardware
AI /Data engineer
- Responsible for implementing the solutions for enterprise AI.
- To be able to understand and adapt on solution hosting platforms – MiDAS, Modanna, Codemate etc
- To be able to understand and curate engineering Data
- Making Org’s data accessible, high-quality, secure, and AI-ready.
- With design pipelines, curate datasets, maintain data standards, and make sure every AI use case has the right data behind it.
Technical Skills:
Languages: Python, Java, C, SQL Web: HTML, CSS, JavaScript,
React Databases: MySQL, MongoDB
Tools: Git, GitHub, VS Code, IntelliJ, Anaconda
Concepts: OOP, RESTful APIs, Agile Methodology, Data Analysis, Model Training and Evaluation, Natural Language Processing (NLP), Sentiment Analysis, Prompt Engineering
Frameworks & Libraries: Flask, Streamlit, Pandas, NumPy, scikit-learn, Hugging Face
Tools & Technologies: Docker, Git, Apache Kafka, Grafana, Prometheus, Loki, ChromaDB, REST APIs
Qualifications
B.E
Additional Information
8-10
Skills
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