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Bosch Group

Bengaluru

Data and AI/ML Design engineer at NE-VM

ON-SITE MID
Posted 4 days ago

Quick Summary

Role Overview

This role involves designing and deploying scalable machine learning models and data pipelines for the NE-VM AI solution development team. The engineer will focus on optimizing AI models for embedded automotive hardware while ensuring engineering data is accessible and AI-ready.

Key Responsibilities

  • Implement enterprise AI solutions across various hosting platforms.
  • Design and build scalable machine learning models and data pipelines.
  • Curate engineering datasets to ensure high quality and security.
  • Optimize AI models for deployment on embedded automotive hardware.
  • Maintain data standards to support diverse AI use cases.
  • Develop features for computer vision and predictive maintenance.

Requirements Snapshot

  • Bachelor of Engineering degree with 8 to 10 years of experience.
  • Proficiency in Python, Java, C, and SQL programming languages.
  • Experience with ML frameworks like scikit-learn and Hugging Face.
  • Knowledge of data tools including Kafka, Docker, and MongoDB.
  • Familiarity with RESTful APIs and Agile development methodologies.

Expected Impact

The engineer will drive the advancement of automotive AI by delivering high-quality, secure data pipelines and optimized models. Their work will directly enhance system features and software development processes, ensuring robust performance on embedded hardware.

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

View Original Job Post

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