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 :