AI/ML Engineer_MS
Bosch•2h ago
telengana, inOnsiteFull-timeMid Level4+ yrs exp
Top focus
Ml Engineer
- 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 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
- cloud-native deployment. The role involves building scalable AI systems, designing LLM-based applications
- integrating enterprise-grade MLOps pipelines across any one of Azure, GCP
- AWS environments. Key Responsibilities Design and implement ML and GenAI solutions including RAG pipelines, LLM integrations, prompt engineering
- evaluation/guardrail frameworks. Develop and deploy API-based AI applications using FastAPI, Flask
- Plotly Dash. Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment
- 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
- other cloud-native platforms. Implement MLOps workflows for CI/CD, model registry, experiment tracking
- automated retraining. Build and optimize ETL/ELT pipelines using Azure Data Factory, BigQuery, Databricks
- other data engineering tools. Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight
- ThoughtSpot. Ensure scalable, secure
- 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
- 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
- vector database management Ensuring data quality, lineage, governance
- 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
- Educational qualification: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. Experience : 4–6 Years
Required skills
PythonSQLHTMLCSSJavaScriptLangChainLangGraphGoogle ADKVertex AIAWS BedrockAzure Data FactoryBigQueryDatabricksPower BITableau