CloudThat
Lead AI/ML Engineer
Location unstated
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Lead / management
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
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the posting
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
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