## 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 **Job Description** We are seeking an experienced **AI/ML Engineer (4–6 years)** with strong hands-on expertise in end-to-end machine learning, GenAI solution development, data engineering, and cloud-native deployment. The role involves building scalable AI systems, designing LLM-based applications, and integrating enterprise-grade MLOps pipelines across any one of Azure, GCP, and AWS environments. **Key Responsibilities** - Design and implement **ML and GenAI solutions** including RAG pipelines, LLM integrations, prompt engineering, and evaluation/guardrail frameworks. - Develop and deploy **API-based AI applications** using FastAPI, Flask, or Plotly Dash. - Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring. - Work with cross-functional teams to translate business needs into AI-driven outcomes. - Deploy workloads using **Azure App Service, Cloud Run**, Azure Bot Service, Dialogflow, and other cloud-native platforms. - Implement **MLOps workflows** for CI/CD, model registry, experiment tracking, and automated retraining. - Build and optimize **ETL/ELT pipelines** using Azure Data Factory, BigQuery, Databricks, and other data engineering tools. - Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight, or ThoughtSpot. - Ensure scalable, secure, and cost-optimized deployment across Azure/GCP/AWS environments. **Required Technical Skills** **Programming & Languages** - Python (advanced), SQL (strong), HTML/CSS/JavaScript (working knowledge) **LLMs & GenAI** - LangChain, LangGraph - Google ADK, Vertex AI, AWS Bedrock - RAG architectures, embeddings, vector retrieval - Prompt design, evaluation metrics, guardrails/security - Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence - Custom model development using GPT, LangChain, and relevant frameworks - Prompt engineering, LogProbs handling, vector search integrations **Data Engineering & Platforms** - BigQuery, Azure Synapse, Azure Data Factory, Databricks - Blob Storage, Cloud Storage, Document AI - Strong understanding of ETL/ELT, feature engineering & data profiling - Event-driven architecture and streaming systems for agentic workflows - Data ingestion, transformation, and vector database management - Ensuring data quality, lineage, governance, and observability **BI & Analytics** - Power BI, Tableau, Looker, ThoughtSpot, QuickSight **DevOps & MLOps** - Docker, CI/CD pipelines - Model deployment & monitoring - Vertex AI Agent Engine, model registry, experiment tracking ## Qualifications **Educational qualification:** Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. **Experience :** 4–6 Years