AI​/ML Engineer

• Legal Entity:
  Bosch Global Software Technologies Private Limited

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 (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.

• 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, Big Query, Databricks, and other data engineering tools.
• Create dashboards and analytical insights using Power BI, Tableau, Looker, Quick Sight, or Thought Spot.
• Ensure scalable, secure, and cost‑optimized deployment across Azure/GCP/AWS environments.

• Lang Chain, Lang Graph
• RAG architectures, embeddings, vector retrieval
• Custom model development using GPT, Lang Chain, and relevant frameworks
• Prompt engineering, Log Probs handling, vector search integrations
• 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

• Power BI, Tableau, Looker, Thought Spot, Quick Sight

Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.