AI/ML Engineer_MS

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 DescriptionWe 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 ResponsibilitiesDesign 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 SkillsProgramming & LanguagesPython (advanced), SQL (strong), HTML/CSS/JavaScript (working knowledge)LLMs & GenAILangChain, LangGraphGoogle ADK, Vertex AI, AWS BedrockRAG architectures, embeddings, vector retrievalPrompt design, evaluation metrics, guardrails/securityAzure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document IntelligenceCustom model development using GPT, LangChain, and relevant frameworksPrompt engineering, LogProbs handling, vector search integrationsData Engineering & PlatformsBigQuery, Azure Synapse, Azure Data Factory, DatabricksBlob Storage, Cloud Storage, Document AIStrong understanding of ETL/ELT, feature engineering & data profilingEvent-driven architecture and streaming systems for agentic workflowsData ingestion, transformation, and vector database managementEnsuring data quality, lineage, governance, and observabilityBI & AnalyticsPower BI, Tableau, Looker, ThoughtSpot, QuickSightDevOps & MLOpsDocker, CI/CD pipelinesModel deployment & monitoringVertex AI Agent Engine, model registry, expe...