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Location
In office
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Feb 19, 2026.

Overview
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Accelerate your cloud journey with CloudThat — expert in cloud consulting, services, and training. Master Cloud, AI/ML, GenAI, Big Data, DevOps, Security, AWS, and Azure.

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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