Description

You will build and maintain scalable AI platforms, designing ML pipelines and serving models at scale.

This role is on-site.

Responsibilities

• Build and maintain customer-facing, scalable AI platforms.
• Design ML pipelines for experiment, model, feature management, and retraining.
• Implement model A/B testing and design APIs for scaled model inferencing.
• Serve as SME in LLM serving paradigms and GPU architectures.
• Evangelize the platform to stakeholders.

Required Skills

• 5+ years of professional experience in software engineering or ML infrastructure.
• Proficiency in Python and SQL.
• Expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• Deep understanding of containerization using Kubernetes and Docker.
• Experience with LLM orchestration frameworks like Langchain, Langgraph, and Flowise.
• Familiarity with distributed training using DeepSpeed and serving with vLLM.
• Knowledge of cloud environments (AWS/Azure/GCP).
• Experience with databases including DynamoDB, MongoDB, and PostgreSQL.

Key Skills

Education

Any Gradute