Description:

Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions.
Build AI Agents, intelligent automation workflows, and LLM integrations.
Drive MLOps, CI/CD, and ML infrastructure best practices.
Design and optimize scalable AWS-based data pipelines and analytics platforms.
Develop production-grade APIs and model-serving solutions.
Integrate enterprise systems such as SAP and Salesforce.
Mentor engineering teams and provide technical leadership.

Requirements:

Expert Python Programming.
Proficiency in PyTorch, TensorFlow, Scikit-Learn.
Experience with AI Agents, LLMs & MCP Server Integration.
Knowledge of AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM).
Familiarity with Docker, CI/CD, MLOps.
Skills in REST API Design & Production ML Deployments.

Skills