AI/ML Engineer_MS
Bosch GlobalResponsibilities
- Design and implement ML and GenAI solutions, including RAG pipelines, LLM integrations, prompt engineering, and evaluation and guardrail frameworks.
- Develop and deploy API-based AI applications using FastAPI, Flask, or Plotly Dash.
- Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, and monitoring.
- Deploy workloads using Azure App Service, Cloud Run, Azure Bot Service, Dialogflow, and other cloud-native platforms.
- Implement MLOps workflows for CI/CD, model registries, experiment tracking, and automated retraining.
- Build and optimize ETL/ELT pipelines using Azure Data Factory, BigQuery, Databricks, and related data engineering tools.
- Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight, or ThoughtSpot.
- Ensure scalable, secure, and cost-optimized deployments across Azure, GCP, and AWS.
- Collaborate with cross-functional teams to translate business needs into AI-driven outcomes.
- Maintain data quality, lineage, governance, observability, and vector database management.
Requirements
- 4–6 years of experience in AI/ML engineering, GenAI solution development, data engineering, and cloud-native deployment.
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- Advanced Python and strong SQL skills, with working knowledge of HTML, CSS, and JavaScript.
- Experience with LangChain, LangGraph, Google ADK, Vertex AI, AWS Bedrock, Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure Document Intelligence.
- Knowledge of RAG architectures, embeddings, vector retrieval, prompt design, evaluation metrics, guardrails, LogProbs handling, and vector search integrations.
- Experience with BigQuery, Azure Synapse, Azure Data Factory, Databricks, Blob Storage, Cloud Storage, and Document AI.
- Understanding of ETL/ELT, feature engineering, data profiling, event-driven architecture, streaming systems, and data ingestion and transformation.
- Experience with Docker, CI/CD pipelines, model deployment and monitoring, model registries, experiment tracking, and Vertex AI Agent Engine.
- Experience with Power BI, Tableau, Looker, ThoughtSpot, or QuickSight.
Tech Stack
Categories
About Bosch Global
The Bosch Group is a leading global supplier of technology and services. It employs roughly 413,000 associates worldwide (as of December 31, 2025). The company generated sales of 91 billion euros in 2025. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 500 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 82,000 associates in research and development. Instagram: https://www.instagram.com/boschglobal/ Facebook: https://www.facebook.com/BoschGlobal Glassdoor: https://bit.ly/3raTZnH Imprint: www.bosch.com/corporate-information Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/