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AI/ML Engineer – Data Science (RBAI)

Bosch Global Software Technologies · Bengaluru

CompanyBosch Global Software Technologies
RoleAI/ML Engineer – Data Science (RBAI)
LocationBengaluru
Work modeOn-site
Experience1–3 years
Job typeFull-time
QualificationB.E. in AI, Computer Science, E&C, EEE or Mechatronics

About this job

Bosch Global Software Technologies is hiring an AI/ML expert in Bengaluru. You will clean and explore data, build and validate machine learning models and use deep learning where it helps.

The role also covers dashboards in Tableau, Power BI or Python, and deploying models to production with tools such as TensorFlow Serving, Flask, FastAPI or Docker. You will work with data engineers, analysts and product planning teams.

Eligibility

  • 1 to 6 years of relevant experience (minimum 1 year)
  • B.E. in AI, CS, E&C, EEE or Mechatronics
  • Hands-on ML model development and data preprocessing
  • Experience deploying models with Flask, FastAPI, TensorFlow Serving or Docker
  • AI/ML certifications and NLP, vision or RL experience are a plus

Skills required

PythonMachine LearningDeep LearningTensorFlowFastAPI / FlaskDockerPower BI / TableauEDANLP / Computer Vision

What you will do

  • Collect, clean and preprocess structured and unstructured data
  • Run exploratory analysis to find trends and insights
  • Build, train and validate ML and deep learning models
  • Create dashboards and explain results to stakeholders
  • Deploy models to production and tune them for performance

How to apply

  • Open the official Bosch Global Software Technologies job page with the Apply button and submit your application there.
  • Tailor your resume to models you built and deployed, the data you worked with and the results achieved.

Before the interview, prepare:

  • Model evaluation: precision, recall, F1, ROC-AUC and choosing the right metric
  • Overfitting: regularisation, cross-validation and data leakage
  • Deployment: serving a model with FastAPI in Docker and monitoring it
  • EDA: handling missing values, outliers and feature engineering

Apply on official website →

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Posted 7 Nov 2026 · Last checked 11 Nov 2026 · Official source

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