AI Architectural Lead

3 days ago

Hyderabad, Telangana, India beBeeEngineering Full time ₹ 12,00,000 - ₹ 19,00,000
Cloud Engineering Lead

As a Cloud Engineering Lead, you will be responsible for building and implementing enterprise-grade AI solutions with a focus on privacy, security, and fairness.

The ideal candidate will have experience in designing and implementing scalable, distributed systems using machine learning technologies. They will also be familiar with cloud-based platforms and services such as AWS, GCP, or Azure.

This role requires a strong understanding of data structures, algorithms, and software engineering principles. The candidate should be able to effectively communicate complex technical concepts to a diverse audience.

We are looking for a proactive individual who can work independently and collaboratively in a fast-paced environment. If you have experience in leading project teams and setting technical direction, we encourage you to apply.

Key Responsibilities:
  • BUILD ENTERPRISE GRADE AI SOLUTIONS WITH FOCUS ON PRIVACY, SECURITY, FAIRNESS
  • DESIGN AND IMPLEMENT SOLUTIONS L Leveraging Open Shift's features for container orchestration or using AWS services - Sagemaker, S3, Lambda, and EC2 to configure LLMs
  • EFFICIENTLY MANAGING CLOUD RESOURCES TO OPTIMIZE PERFORMANCE AND COST
  • ARCHITECT AND DEVELOP SOFTWARE OR INFRASTRUCTURE FOR SCALABLE, DISTRIBUTED SYSTEMS AND WITH MACHINE LEARNING TECHNOLOGIES
  • WORK WITH FRAMEWORKS(TENSORFLOW, PY TORCH) AND OPEN SOURCE PLATFORMS LIKE HUGGING FACE TO DELIVER THE BEST SOLUTIONS
  • OPTIMIZE EXISTING GENERATIVE AI MODELS FOR IMPROVED PERFORMANCE, SCALABILITY, AND EFFICIENCY
Requirements:
  • 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction
  • Experience working in a complex, matrixed organization involving cross-functional or cross-business projects
Desired Skills:
  • Experience in implementing enterprise systems in production settings for AI, computer vision, natural language processing
  • Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus
  • Experience with information storage / retrieval using vector databases like pinecone
  • Experience with machine learning libraries and frameworks such as Py Torch or Tensor Flow, Hugging Face, Lang chain, Llama Index

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