Cloud AI Engineer (Permanent)

Job Title: AI/ML Engineer Experience: 5+ Years Employment Type: Permanent / Full-time Immediate to 30 Days Our client is a global leader in digital innovation and IT solutions, operating across multiple industries and geographies. They specialize in building cutting-edge AI/ML solutions, empowering enterprises to leverage data-driven insights and adopt next-gen technologies with scalability and efficiency. Design, build, and deploy enterprise-scale AI/ML architectures , with focus on LLM-based solutions Fine-tune and apply Large Language Models to solve complex business problems Build API development and integration pipelines for model deployment Collaborate with cross-functional teams (data engineers, cloud architects, product owners) to deliver end-to-end solutions Ensure smooth deployment through MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) Troubleshoot, optimize, and enhance model performance in production environments Advanced degree in Computer Science, Engineering, or related field (PhD preferred) 5+ years of AI/ML engineering experience , with 2+ years in LLM-based solutions Strong skills in ML architectures, scalable model deployment, and distributed computing Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines Hands-on experience with AWS, Azure, or GCP and MLOps tools Knowledge of API development, integration, and deployment workflows You have less than 5 years of AI/ML engineering experience You have no hands-on experience with LLMs in real-time projects You do not have exposure to cloud platforms and MLOps tools Apply ONLY if you meet all mandatory skills and experience criteria . Job Title: AI/ML Engineer Experience: 5+ Years Employment Type: Permanent / Full-time Immediate to 30 Days Our client is a global leader in digital innovation and IT solutions, operating across multiple industries and geographies. They specialize in building cutting-edge AI/ML solutions, empowering enterprises to leverage data-driven insights and adopt next-gen technologies with scalability and efficiency. Design, build, and deploy enterprise-scale AI/ML architectures , with focus on LLM-based solutions Fine-tune and apply Large Language Models to solve complex business problems Build API development and integration pipelines for model deployment Collaborate with cross-functional teams (data engineers, cloud architects, product owners) to deliver end-to-end solutions Ensure smooth deployment through MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) Troubleshoot, optimize, and enhance model performance in production environments Advanced degree in Computer Science, Engineering, or related field (PhD preferred) 5+ years of AI/ML engineering experience , with 2+ years in LLM-based solutions Strong skills in ML architectures, scalable model deployment, and distributed computing Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines Hands-on experience with AWS, Azure, or GCP and MLOps tools Knowledge of API development, integration, and deployment workflows You have less than 5 years of AI/ML engineering experience You have no hands-on experience with LLMs in real-time projects You do not have exposure to cloud platforms and MLOps tools Apply ONLY if you meet all mandatory skills and experience criteria .