Bosch Group

Bengaluru

Data and AI/ML Design engineer at NE-VM

FULL TIME ON-SITE MID
Posted 5 days ago

Quick Summary

Role Overview

The Data and AI/ML Design Engineer joins the NE-VM AI solution development team to build scalable machine learning models and data pipelines. This role focuses on enhancing automotive software development through computer vision, sensor fusion, and predictive maintenance models deployed on embedded hardware.

Key Responsibilities

  • Design and build scalable machine learning models for automotive systems
  • Develop data pipelines to enhance software development processes
  • Deploy AI models onto embedded automotive hardware
  • Implement enterprise AI solutions on hosting platforms like MiDAS and Modanna
  • Curate high-quality engineering datasets to ensure they are AI-ready
  • Maintain data standards and security across all AI use cases

Requirements Snapshot

  • Bachelor of Engineering degree
  • Eight to ten years of relevant professional experience
  • Proficiency in Python, Java, C, and SQL
  • Experience with machine learning frameworks like scikit-learn and Hugging Face
  • Knowledge of data engineering tools including Docker and Apache Kafka

Expected Impact

The engineer will drive the integration of advanced AI capabilities into automotive hardware, significantly improving system features and software development efficiency. By establishing robust data pipelines and high-quality datasets, they will ensure that the organization's AI initiatives are scalable, secure, and high-performing.

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

Job Description

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

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