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AI Architect

2 months ago

Hyderabad, India Feuji Full time

Company : Feuji.Inc

Experience : 9+ Years

Company Location : Hyderabad


Since its inception in 2014, Feuji, Inc. has come a long way. Within a few years, Feuji grew from a small team to more than 400 dedicated employees. Today, with its global network and industry-leading expertise in technology solutions and emerging digital business processes, Feuji provides a unique value proposition for its customers.


In the last few years, Feuji has actively supported multiple projects in India, Costa Rica and the USA in the areas of healthcare, education, skill development, and ecological preservation. What’s next for Feuji? We are looking forward to continuing our work in the areas of digital transformation and sustainable community development by consistently delivering lasting positive impact.


Roles and Responsibilities

AI-Enabled Software Architect


Required Technical Skills and Experience:

  • Architecture Design & AI Integration: Expertise in designing scalable, efficient architectures with a strong emphasis on integrating AI and machine learning technologies. Ability to develop strategies that incorporate AI to enhance system capabilities and innovate solutions.
  • API Architecture & AI Services: Exceptional ability in architecting APIs with a focus on AI service integration, including RESTful services, GraphQL, and custom AI model APIs. Proficiency in creating seamless interfaces for AI-driven data exchange and processing.
  • Programming & Machine Learning Models: Advanced programming skills in Python, Java, and JavaScript, with specific experience in implementing AI algorithms and machine learning models. Familiarity with TensorFlow, PyTorch, and Hugging Face's Transformers for AI applications.
  • Cloud, Distributed Systems & AI Deployment: Strong background in cloud computing platforms (AWS, Google Cloud, Azure) for deploying AI models and managing scalable, fault-tolerant systems. Knowledge of deploying AI models in containerized environments using Docker and Kubernetes.
  • Performance Optimization in AI Systems: Skills in optimizing AI systems for high performance, including efficient model serving, low-latency processing, and scalability. Understanding of techniques to reduce computational overhead and improve response times.
  • Security & Data Protection in AI: Awareness of specific security considerations for AI systems, including model security, data privacy, and secure API interactions. Experience in implementing robust security protocols for AI data handling and processing.
  • Data Architecture & AI: Deep understanding of data management principles relevant to AI, including data modeling, processing, and storage. Experience with vector databases like Faiss and Annoy for AI-related data retrieval and manipulation.
  • Leadership in AI-Driven Projects: Ability to lead and communicate effectively in projects that heavily involve AI and machine learning, ensuring that AI components align with overall architectural goals and business objectives.


Ideal Candidate:


You are at the forefront of software architecture, with a special focus on leveraging AI to drive innovation and efficiency. Your background in AI technologies and machine learning models enables you to design cutting-edge systems that are not only scalable and robust but also intelligent. You understand the nuances of integrating AI into various architectural frameworks and have a keen eye for optimizing system performance. Your expertise is complemented by your ability to work collaboratively, guiding teams towards achieving architectural excellence with AI at the core. You're not just building systems; you're crafting intelligent solutions that anticipate and adapt to future needs.

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