AI And Machine Learning Engineer

Key Skills: AI/ML, Generative AI, Agentic AI, Python, SQL, RAG, LLMs, Foundation Models, Cloud, Azure, Observability, AI Engineering, Machine Learning, Intelligent Automation Roles & Responsibilities Lead the design and delivery of AI and Machine Learning solutions.Partner with global AI and business teams to develop AI-driven products and solutions.Build and deploy production-grade Generative AI and Agentic AI applications.Design AI workflows using LLMs, RAG, and intelligent automation technologies.Ensure AI solutions are scalable, secure, reliable, and production-ready.Collaborate with engineering, data, platform, and security teams for AI integration.Monitor AI system performance and implement observability and lifecycle management.Drive AI innovation from proof of concept (POC) to production deployment.Mentor engineering teams and promote AI best practices.Stay updated with emerging AI technologies and industry trends.Experience Required 16-19 years of experience in AI, Machine Learning, and Software Engineering.Strong hands-on experience with Python and SQL.Experience building and deploying production-grade AI systems.Deep understanding of Generative AI, Agentic AI, LLMs, and Foundation Models.Hands-on experience with RAG, vector databases, and AI application development.Knowledge of API development, secure coding, testing, monitoring, and observability.Experience with Azure or other cloud platforms is preferred.Strong leadership, stakeholder management, and problem-solving skills.Education: Any Graduation Key Skills: AI/ML, Generative AI, Agentic AI, Python, SQL, RAG, LLMs, Foundation Models, Cloud, Azure, Observability, AI Engineering, Machine Learning, Intelligent Automation Roles & Responsibilities Lead the design and delivery of AI and Machine Learning solutions.Partner with global AI and business teams to develop AI-driven products and solutions.Build and deploy production-grade Generative AI and Agentic AI applications.Design AI workflows using LLMs, RAG, and intelligent automation technologies.Ensure AI solutions are scalable, secure, reliable, and production-ready.Collaborate with engineering, data, platform, and security teams for AI integration.Monitor AI system performance and implement observability and lifecycle management.Drive AI innovation from proof of concept (POC) to production deployment.Mentor engineering teams and promote AI best practices.Stay updated with emerging AI technologies and industry trends.Experience Required 16-19 years of experience in AI, Machine Learning, and Software Engineering.Strong hands-on experience with Python and SQL.Experience building and deploying production-grade AI systems.Deep understanding of Generative AI, Agentic AI, LLMs, and Foundation Models.Hands-on experience with RAG, vector databases, and AI application development.Knowledge of API development, secure coding, testing, monitoring, and observability.Experience with Azure or other cloud platforms is preferred.Strong leadership, stakeholder management, and problem-solving skills.Education: Any Graduation