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