AI/ML Engineer_MS
Core
Design and implement scalable AI systems, GenAI solutions, and LLM-based applications with end-to-end MLOps pipelines.
Role type
Senior IC AI/ML Engineer (GenAI & Data Engineering)
Builds
Production ML models, API-based AI applications, and MLOps workflows for enterprise clients.
Domain
Enterprise Technology / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, LLMs & GenAI frameworks (LangChain, LangGraph), RAG architectures, Vector retrieval, Prompt engineering, ETL/ELT pipelines, Cloud platforms (Azure, GCP, AWS), MLOps (CI/CD, model registry), Data engineering tools (BigQuery, Databricks), BI tools (Power BI, Tableau)
Preferred skills
Experience with Azure AI Foundry, Azure OpenAI, Azure Document Intelligence, Custom model development, Event-driven architecture, Streaming systems
Technologies
FastAPI, Flask, Plotly Dash, Azure App Service, Cloud Run, Azure Bot Service, Dialogflow, Docker, Vertex AI Agent Engine, Google ADK, AWS Bedrock, Azure Synapse, Azure Data Factory, Blob Storage, Cloud Storage, Document AI, LangGraph, Google ADK, Vertex AI, AWS Bedrock, Power BI, Tableau, Looker, ThoughtSpot, QuickSight
Responsibilities
Design and implement ML and GenAI solutions including RAG pipelines and LLM integrations; Develop and deploy API-based AI applications; Build end-to-end ML pipelines from data ingestion to monitoring; Implement MLOps workflows for CI/CD and automated retraining; Build and optimize ETL/ELT pipelines; Create dashboards and analytical insights.
Seniority
Mid-Senior, hands-on IC
