AI ML Engineer_MS

Bosch; Hyderabad; On-site; INR 1,700,000 - 2,600,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in Hyderabad invites an experienced AI/ML Engineer (4–6 years) to design end-to-end ML systems, GenAI solutions, and cloud-native deployments across Azure, GCP, and AWS.

You will build RAG pipelines, LLM integrations, MLOps, and data engineering workflows, collaborating with cross-functional teams to deliver enterprise-grade AI outcomes. Strong Python/SQL skills and BI tooling are expected.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• 4–6 years of experience in AI/ML engineering or related role.

Responsibilities

• Design and implement ML/GenAI solutions including RAG pipelines and LLM integrations.
• Develop and deploy API-based AI apps using FastAPI, Flask, or Plotly Dash.
• Build end-to-end ML pipelines: ingestion, features, training, deployment, monitoring.
• Collaborate with teams to translate business needs into AI outcomes.
• Deploy workloads on Azure/GCP/AWS cloud-native platforms.
• Implement MLOps: CI/CD, model registry, experiments, retraining.
• Build ETL/ELT pipelines with Azure Data Factory, Databricks, BigQuery.
• Create dashboards with Power BI, Tableau, Looker, QuickSight.
• Ensure scalable, secure, and cost-optimized deployments across cloud environments.

Skills

Python

SQL

HTML/CSS/JavaScript

Education

Bachelor's/Master's degree in Computer Science/Engineering

Tools

Docker

CI/CD pipelines

Azure

GCP

AWS

Job description

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

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

Legal Entity: Bosch Global Software Technologies Private Limited

Requirements: