Bosch Group

Bengaluru

Data and AI/ML Design engineer at NE-VM

ON-SITE MID

Posted 12 days ago

Quick Summary

Role Overview

This role involves joining the NE-VM AI solution development team to design and deploy scalable machine learning models and data pipelines. The engineer will focus on creating and optimizing AI models for computer vision and predictive maintenance on embedded automotive hardware.

Key Responsibilities

Design and build scalable machine learning models and data pipelines.
Deploy AI models onto embedded automotive hardware.
Implement enterprise AI solutions using platforms like MiDAS and Modanna.
Curate engineering data to ensure it is high-quality and AI-ready.
Maintain data standards and design efficient data pipelines.
Optimize models for computer vision and sensor fusion applications.

Requirements Snapshot

Bachelor of Engineering degree.
Eight to ten years of relevant professional experience.
Proficiency in Python, Java, C, and SQL.
Experience with ML frameworks like scikit-learn and Hugging Face.
Knowledge of Docker, Kafka, and RESTful API development.

Expected Impact

The engineer will drive the development of advanced AI features for automotive systems, ensuring that data is accessible and high-quality for enterprise-level applications. By bridging data engineering and deep learning, they will enhance the performance and reliability of embedded AI solutions.

This summary was generated from the original job posting (AI-assisted, human-reviewed).
For full details, see the description below.

Job Description

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

View Original Job Post

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