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.

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.