Data Engineer with AI developer at BoschGroup

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