Data Engineer with AI developer

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.

Role Description:

We are looking for a hands on Data Engineer / AI Developer who can rapidly build AI enabled applications, automate workflows, and deliver solutions end to end using modern SDLC practices.

The role requires a builder mindset—someone comfortable moving from idea to prototype to production quickly, while following good engineering discipline.

Key Responsibilities

• Build lightweight data & AI applications (dashboards, APIs, copilots, automations, PoCs)

  
  

• Develop data pipelines, feature flows, and AI integrations (batch & near?real?time)

  
  

• Implement automation and workflows across systems (APIs, event?driven, scheduled jobs)

  
  

• Apply SDLC best practices: version control, CI/CD, testing, documentation

  
  

• Collaborate with business and product teams to translate ideas into working solutions

  
  

• Package solutions for reusability and scale (modular code, templates, configs)

  
  

• Stay current with new techniques, tools, and frameworks in data science and AI

  
  

Functional & Business Competencies

• Machine Learning & Model Development

  
  

• Statistical Analysis & Feature Engineering

  
  

• Problem Framing & Hypothesis Testing

  
  

• Business Impact Orientation

  
  

• Collaboration with Engineering & Product Teams

  
  

• Data Pipeline Design & Optimization

  
  

• ETL/ELT Development

  
  

• Cloud Data Services

  
  

• Collaboration with Analysts & Scientists

  
  

• Data Quality & Performance Monitoring

  
  

• Clear Communication of Analytical Findings

  
  

Qualifications & Experience

• 5-7 years of experience in data science, machine learning, or applied statistics

  
  

• Hands on experience in application development and workflows.

  
  

• Proficient in Python (e.g., scikit-learn, pandas), SQL, and ML frameworks

  
  

• Familiarity with cloud services for data (e.g., Databricks, Azure Data Factory)

  
  

• Experience working with cloud-based ML environments (AWS Sagemaker, Azure ML, etc.)

  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field

  
  

Educational qualification:

B.E/B.Tech/MCA or equivalent qualification

Experience :

5-7 years of experience in data science, machine learning, or applied statistics

Mandatory/requires Skills :
ETL/ELT Development, Machine Learning & Model Development

Preferred Skills :