Key Responsibilities
- Architect and implement advanced generative AI solutions, including those for text and image generation, and document/image extraction.
- Apply advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, and sophisticated prompt engineering.
- Develop and deploy generative AI models, ensuring they meet performance, scalability, and business objectives.
- Integrate AI models into products and services by collaborating with data engineers, software developers, and product managers.
- Ensure ethical AI development by adhering to industry standards and regulatory requirements.
- Utilize data science principles for model enhancement, using statistical analysis and machine learning to improve model accuracy and efficiency.
- Build and deploy cloud-native, containerized infrastructure for AI models, using tools like Kubernetes or ECS.
- Contribute to prompt engineering and chatbot development when required.

Required Skills

Technical Expertise:
- Programming: Python.




- AI/ML Frameworks: TensorFlow, PyTorch, or similar.
- Gen AI Tools: Experience with LangChain, Azure OpenAI, or open-source LLMs is a significant plus.
- Techniques: Strong grasp of RAG, fine-tuning, prompt engineering, and data embeddings.
- Data Handling: Data mining, cleansing, and preprocessing of structured and unstructured data.

Architectural & Design:
- Ability to architect scalable AI solutions and define technical strategies.
- Proficiency in designing and optimizing data pipelines.
- Understanding of AI ethics, bias mitigation, and compliance standards.

Problem-Solving:
- Strong problem-solving skills to experiment and optimize AI model behavior.
- Ability to analyze and interpret model performance metrics.

Collaboration:
- Experience working in a collaborative, cross-functional setting.

📌 GEN AI Architect (Noida)
🏢 Topcoder
📍 Noida