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.

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