Opportunity brief
About CloudThat: At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. Role Overview We are looking for a Lead AI/ML Engineer with 5+ years of experience to architect, lead, and scale AI/ML and Generative AI initiatives across the organization. This role requires strong technical leadership, solution architecture expertise, and hands-on experience with production-grade AI systems. Key Responsibilities Lead end-to-end AI/ML and GenAI solution design and implementation Architect scalable ML systems and data pipelines Design enterprise GenAI applications leveraging GPT-4 , Claude 3 , and open-source LLMs Define and implement RAG architectures and multi-agent systems Lead fine-tuning strategies and LLM evaluation frameworks Oversee deployment on Amazon Web Services. Establish MLOps best practices and CI/CD standards Mentor and manage AI/ML engineers Collaborate with stakeholders to translate business problems into AI solutions Ensure Responsible AI practices and compliance standards Required Skills 5+ years of experience in AI/ML engineering Proven experience leading AI/ML teams Deep understanding of LLM architectures and transformer models Experience with distributed training and model optimization Strong knowledge of data engineering and scalable system design Experience with vector databases and embeddings Proficiency in Kubernetes, Docker, and cloud-native architecture,AWS. Preferred Qualifications Experience building enterprise-scale GenAI platforms Knowledge of MLOps frameworks and model governance Experience in regulated industries (FinTech, HealthTech, etc.) Publications or patents in AI/ML (optional but valued) Education Bachelor's/Master's degree in Computer Science, AI, Machine Learning, or related discipline