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Bosch

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Bosch

IN_RBAI_AI_ML_Expert_IN

Bosch is seeking an AI/ML Expert for a full-time position located in Bengaluru. This on-site role involves building, training, and validating machine learning models to solve…

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Location
Bengaluru, India
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Employment type
Full-time
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Added to Jobsiz4h agoEmployer posted Nov 11, 2026
Listing Views5
Applications0
Apply BeforeNo deadline

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About This Role

Bosch is seeking an AI/ML Expert for a full-time position located in Bengaluru. This on-site role involves building, training, and validating machine learning models to solve business issues while managing data preprocessing and exploratory data analysis. The position requires professionals who can integrate machine learning models into production environments, design interactive dashboards, and communicate findings to stakeholders. Candidates will collaborate closely with data engineers, business analysts, and product planning teams.…

Job Description

Bosch is seeking an AI/ML Expert for a full-time position located in Bengaluru. This on-site role involves building, training, and validating machine learning models to solve business issues while managing data preprocessing and exploratory data analysis.

The position requires professionals who can integrate machine learning models into production environments, design interactive dashboards, and communicate findings to stakeholders. Candidates will collaborate closely with data engineers, business analysts, and product planning teams. This opportunity suits practitioners with a background in artificial intelligence, computer science, or related technical disciplines who want to apply advanced analytics and deep learning algorithms.

Responsibilities

  • Collect, clean, and prepare structured and unstructured data for analysis
  • Conduct exploratory data analysis to discover patterns and insights
  • Build, train, and validate machine learning and deep learning models
  • Design interactive dashboards and reports using Tableau, Power BI, or Python libraries
  • Deploy machine learning models into production using tools like Docker, Flask, FastAPI, or TensorFlow Serving
  • Collaborate with data engineers, business analysts, and product planning teams
  • Refine and optimize current systems and models for better accuracy and performance

Requirements

  • Bachelor degree in Computer Science, Data Science, Statistics, Mathematics, AI, E&C, EEE, Mechatronics, or related fields
  • Between 1 and 6 years of relevant professional experience
  • Proficiency in programming languages such as Python, R, or Julia
  • Experience using machine learning frameworks including PyTorch, TensorFlow, and Scikit-learn
  • Knowledge of SQL and NoSQL databases
  • Understanding of probability, statistics, and data structures

Qualifications

  • Certifications in AI, machine learning, or data analytics such as Google Data Analytics, TensorFlow Developer, or AWS Certified Machine Learning
  • Background working with natural language processing, computer vision, or reinforcement learning
  • Familiarity with big data technologies like Spark, Hadoop, or Databricks
  • Experience with cloud environments such as AWS, Azure, or Google Cloud

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the location and work model for this position?

This role is based in Bengaluru and is explicitly on-site.

What level of experience is needed to apply?

The posting specifies a requirement of 1 to 6 years of relevant job experience.

What is the salary for this position?

The salary is not stated in the job posting.

What educational background is required?

Candidates must hold a Bachelor of Engineering or Bachelor's degree in fields such as AI, Computer Science, E&C, EEE, Mechatronics, Statistics, Mathematics, or Data Science.

Sample Interview Questions

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Posted by Bosch

Source: Bosch

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Posted by employer: Nov 11, 2026

Added to Jobsiz: Nov 11, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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