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
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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
