Senior AI/ML Engineer - GenAI, LLM, Data Science & MLOps

Job Title: Senior AI/ML Engineer - GenAI, LLM, Data Science & MLOps Experience: 6-7 Years Employment Type: Full-time Role OverviewWe are seeking a Senior AI/ML Engineer to lead the design, development, deployment, and optimization of scalable AI systems, Generative AI applications, and MLOps workflows. This role requires ownership of architecture decisions, technical leadership, and mentoring junior engineers. Key ResponsibilitiesDesign and implement scalable AI/ML architecturesLead LLM, chatbot, and Generative AI initiativesBuild and optimize production-grade RAG pipelinesOwn MLOps, deployment, monitoring, and automation workflowsDrive experimentation, model optimization, and performance improvementsMentor junior engineers and conduct technical reviewsCollaborate with cross-functional teams to deliver AI-powered solutionsImprove system reliability, scalability, and cost efficiency Required Skills6-7 years of experience in AI/ML EngineeringStrong proficiency in Python and machine learning frameworksDeep understanding of Generative AI, LLMs, and AI ecosystemsHands-on experience with vector databases, embeddings, and RAG architecturesStrong MLOps experience, including model deployment and monitoringCloud platform expertise (AWS, Azure, or GCP)Experience with Docker, Kubernetes, APIs, and CI/CD pipelinesProven experience building and scaling AI systems in production environments Educational QualificationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Title: Senior AI/ML Engineer - GenAI, LLM, Data Science & MLOps Experience: 6-7 Years Employment Type: Full-time Role OverviewWe are seeking a Senior AI/ML Engineer to lead the design, development, deployment, and optimization of scalable AI systems, Generative AI applications, and MLOps workflows. This role requires ownership of architecture decisions, technical leadership, and mentoring junior engineers. Key ResponsibilitiesDesign and implement scalable AI/ML architecturesLead LLM, chatbot, and Generative AI initiativesBuild and optimize production-grade RAG pipelinesOwn MLOps, deployment, monitoring, and automation workflowsDrive experimentation, model optimization, and performance improvementsMentor junior engineers and conduct technical reviewsCollaborate with cross-functional teams to deliver AI-powered solutionsImprove system reliability, scalability, and cost efficiency Required Skills6-7 years of experience in AI/ML EngineeringStrong proficiency in Python and machine learning frameworksDeep understanding of Generative AI, LLMs, and AI ecosystemsHands-on experience with vector databases, embeddings, and RAG architecturesStrong MLOps experience, including model deployment and monitoringCloud platform expertise (AWS, Azure, or GCP)Experience with Docker, Kubernetes, APIs, and CI/CD pipelinesProven experience building and scaling AI systems in production environments Educational QualificationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.