AI/ML Engineer

About the role

We are looking for an experienced AI/ML Engineer (5‑8 years) to design and deliver end‑to‑end generative AI and machine‑learning solutions for Bosch Global Software Technologies. The role focuses on building scalable LLM‑based applications, MLOps pipelines and cloud‑native deployments across Azure, GCP or AWS.

Key responsibilities

• Design and implement ML and GenAI solutions, including RAG pipelines, LLM integrations, prompt engineering and evaluation frameworks.
• Develop API‑based AI applications using FastAPI, Flask or Plotly Dash.
• Build end‑to‑end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment and monitoring.
• Deploy workloads on 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.
• Construct and optimise ETL/ELT pipelines with Azure Data Factory, BigQuery, Databricks and related tools.
• Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight or ThoughtSpot.
• Ensure scalable, secure and cost‑optimised deployments across Azure, GCP and AWS environments.

Required profile

• 5–8 years of hands‑on experience in AI/ML engineering and generative AI solution development.
• Proven ability to translate business requirements into AI‑driven outcomes.
• Strong understanding of data engineering, ETL/ELT processes and cloud‑native architectures.
• Experience working in cross‑functional teams and delivering production‑grade AI services.

Required skills

• Python (advanced), SQL, HTML/CSS/JavaScript
• LangChain, LangGraph, Google AI SDK, Vertex AI, AWS Bedrock, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence
• FastAPI, Flask, Plotly Dash
• Azure App Service, Azure Bot Service, Cloud Run, Dialogflow
• Azure Data Factory, Azure Synapse, BigQuery, Databricks
• Blob Storage, Cloud Storage, Document AI
• Power BI, Tableau, Looker, ThoughtSpot, QuickSight
• Docker, CI/CD pipelines, MLOps tools