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AI/ML Engineer_MS
Bosch Group
Telangana, IND
Full-time
Associate
Onsite
Discovered 1 weeks ago
PythonSQLMachine learningGenerative AIRAG architecturesLLM integration
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Role Overview
Build scalable AI systems using machine learning, GenAI, data engineering, and cloud-native deployment.
Design LLM-based applications and enterprise-grade MLOps pipelines across Azure, GCP, or AWS.
The role is intended for an AI/ML Engineer with 4–6 years of experience.
Key Skills for This Role
PythonSQLMachine learningGenerative AIRAG architecturesLLM integration
Full Job Posting
Role overview
Build scalable AI systems using machine learning, GenAI, data engineering, and cloud-native deployment.
Design LLM-based applications and enterprise-grade MLOps pipelines across Azure, GCP, or AWS.
The role is intended for an AI/ML Engineer with 4–6 years of experience.
AI and application development
- Design ML and GenAI solutions including RAG pipelines, LLM integrations, prompt engineering, and evaluation or guardrail frameworks.
- Develop and deploy API-based AI applications using FastAPI, Flask, or Plotly Dash.
- 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.
ML, data, and MLOps
- Build pipelines for data ingestion, feature engineering, model training, validation, deployment, and monitoring.
- 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 related data tools.
- Manage data quality, lineage, governance, observability, transformation, and vector databases.
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