SECTION I · THE BRIEF
Brief #05995Updated 16 OCT 2026REMOTESmartrecruitersRETAILERS
Employbl Company Profile

AI/ML Expert

Robert Bosch GmbH , commonly known as Bosch, is a German multinational engineering and technology company headquartered in Gerlingen. The company was founded by Robert Bosch in Stuttgart in 1886. Bosch is 92% owned by…

Location
Remote
Company size
200,000–500,000
Posted
6d ago
Via
Smartrecruiters
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Headcount & which departments are hiringLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

No card · 2 minutes · the funding and stack behind this role

AI/ML Expert

Bosch· coimbatore, IndiaView company profile


Job title
AI/ML Expert
Job location
coimbatore, India
Job description

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

  • We are seeking a talented Applied AI/ML Engineer to develop sophisticated models that leverage both visual and time-series data.
  • In this role, you will focus on designing and implementing advanced algorithms to extract meaningful patterns, make accurate predictions, and solve complex analytical challenges.
  • Your primary responsibility will be hands-on model development (for deploying in to automotive domain), from data analysis and feature engineering to training and evaluation.
  • Key Responsibilities: Advanced Model Development Design, build, and validate machine learning models for a variety of complex tasks, including: Computer Vision: Object Detection, Image Segmentation, Facial Analysis, and Classification.
  • Time Series Analysis: Forecasting, Anomaly Detection, and Classification of sequential data.
  • Multi-Modal Modeling: Fusing visual and temporal data to create more powerful predictive models. 
  • Algorithm Implementation and train a wide range of models, including Deep Learning architectures (CNNs, Transformers, LSTMs, GRUs) and traditional statistical methods (e.g., ARIMA, Prophet).
  • Stay current with state-of-the-art techniques and apply them to our unique datasets.
  • Data Analysis & Feature Engineering Conduct in-depth exploratory data analysis to understand data characteristics and identify predictive signals.
  • Develop and implement novel feature engineering techniques tailored to both image and time-series data.
  • Model Optimization & EvaluationFocus on building computationally efficient models.
  • Rigorously evaluate model performance using appropriate metrics and validation strategies to ensure robustness and accuracy.
  • Optimize model architecture and hyperparameters to achieve desired performance targets.

Qualifications

B-Tech

Additional Information

10+

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