Data Science AI/ML Lead

As a Data Science AI/ML Lead, your role will involve leading the architecture, development, and deployment of enterprise-scale AI/ML solutions. You will be responsible for building AI Agents, intelligent automation workflows, and LLM integrations. Additionally, you will drive MLOps, CI/CD, and ML infrastructure best practices. Your tasks will include designing and optimizing scalable AWS-based data pipelines and analytics platforms, developing production-grade APIs and model-serving solutions, and integrating enterprise systems such as SAP and Salesforce. Moreover, you will mentor engineering teams and provide technical leadership. Key Responsibilities: - 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 Qualifications Required: - Expertise in Python Programming - Proficiency in PyTorch, TensorFlow, and Scikit-Learn - Experience in AI Agents, LLMs & MCP Server Integration - Familiarity with AWS Services such as Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM - Knowledge of Docker, CI/CD, and MLOps - Skill in REST API Design & Production ML Deployments If you are interested in this opportunity, please send your updated resume to the provided email address and include your rate/salary requirement along with your contact details and a suitable time when we can reach you. Feel free to forward this posting to anyone in your network who might be a perfect fit for this role. We are looking forward to hearing from you at the earliest. As a Data Science AI/ML Lead, your role will involve leading the architecture, development, and deployment of enterprise-scale AI/ML solutions. You will be responsible for building AI Agents, intelligent automation workflows, and LLM integrations. Additionally, you will drive MLOps, CI/CD, and ML infrastructure best practices. Your tasks will include designing and optimizing scalable AWS-based data pipelines and analytics platforms, developing production-grade APIs and model-serving solutions, and integrating enterprise systems such as SAP and Salesforce. Moreover, you will mentor engineering teams and provide technical leadership. Key Responsibilities: - 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 Qualifications Required: - Expertise in Python Programming - Proficiency in PyTorch, TensorFlow, and Scikit-Learn - Experience in AI Agents, LLMs & MCP Server Integration - Familiarity with AWS Services such as Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM - Knowledge of Docker, CI/CD, and MLOps - Skill in REST API Design & Production ML Deployments If you are interested in this opportunity, please send your updated resume to the provided email address and include your rate/salary requirement along with your contact details and a suitable time when we can reach you. Feel free to forward this posting to anyone in your network who might be a perfect fit for this role. We are looking forward to hearing from you at the earliest.