Partners Post a Job

AI/ML Engineer_MS

Bosch Group · telengana, India

Full Time

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