Job Description
*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 (5-8 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 : *
5-8 Years
*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 (5-8 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 : *
5-8 Years
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