Transformative AI Architect

1 day ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 18,75,000 - ₹ 25,50,000
AI Infrastructure Architect

We're looking for a seasoned professional to lead the development of next-generation AI applications. This individual will bring expertise in software development, AI/ML infrastructure, and full-stack development to our organization.

The ideal candidate will have a strong background in MLOps, with experience in building and optimizing AI/ML infrastructure, designing and implementing end-to-end MLOps pipelines, and developing scalable AI solutions leveraging multiple LLMs, chunking, and embedding techniques.

Key responsibilities include:

  • Building and Optimizing AI Infrastructure: Developing and maintaining high-performance AI/ML infrastructure for model training, deployment, and monitoring.
  • Designing and Implementing MLOps Pipelines: Creating efficient end-to-end MLOps pipelines with CI/CD automation to streamline AI solution development.
  • Developing Scalable AI Solutions: Designing and implementing scalable AI solutions using multiple LLMs, chunking, and embedding techniques.
  • Database Management: Managing databases and indexing systems (PostgreSQL, MySQL, NoSQL) to support AI application development.
  • Cloud and On-Premise Integration: Collaborating on hybrid cloud solutions (primarily Azure) alongside on-premise integration.
  • Front-End AI Development: Building front-end AI applications using Angular and related technologies.
  • Cross-Functional Collaboration: Working closely with AI/ML developers, data scientists, and DevOps to deliver high-performing solutions.
  • Security and Optimization: Ensuring security, networking, and performance optimization across systems.

To be considered for this role, applicants should possess:

  • 8–10 Years of Development Experience: Proven experience with Python programming.
  • MLOps Background: Strong background in MLOps with experience in Kubernetes, Docker, Terraform, and Azure.
  • Hybrid Cloud Expertise: Hands-on experience with hybrid cloud and on-premise infrastructures.
  • Database Skills: Proficiency in database management (SQL & NoSQL).
  • Front-End Development: Knowledge of front-end development using Angular, TypeScript, HTML, and CSS.
  • Networking and Security: Understanding of networking, security, and system optimization principles.

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