[3 Days Left] GEN AI Developer

GEN AI Developer_Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Job Title: GEN AI Developer Experience Required: 4-6 Years Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai Employment Type: Full-time Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet Job Description: Developer-GenAI Application shall be focused on coding, developing, and implementing GenAI applications using fine-tuned LLMs (Large Language Models) and SLMs (Small Language Models). This role emphasizes hands-on expertise in open-source frameworks, libraries, and cloud tools, with the ability to quickly prototype and demonstrate GenAI applications. The developer shall work under the guidance of senior team members to deliver high-quality, scalable, and innovative solutions. Key Responsibilities: - Coding and Development: Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks. - Fine-Tuning Models: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases. - Open-Source Frameworks: Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions. - Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. - Integration and Deployment: Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage. - Data Preprocessing: Build and maintain data preprocessing pipelines for training and fine-tuning models. - API Integration: Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. - Model Evaluation: Evaluate model performance using metrics and benchmarks and iterate to improve results. - Prototyping: Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. - Front-End Development: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. - Version Control: Use Git and other version control systems to manage code and collaborate with team members. - Technical Documentation: Create clear and concise documentation for code, models, and processes. - Collaboration: Work closely with data scientists, engineers, and product managers to deliver high-impact solutions. - Learning and Growth: Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies. - Debugging and Optimization: Identify and fix bugs, optimize code, and improve application performance. Required Skills: - Python Programming: Strong proficiency in CORE Python OOP for developing GenAI applications. - Fine-Tuning Techniques: Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA. - Open-Source Frameworks: Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries. - Cloud Platforms: Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models. - Data Preprocessing: Skills in building and maintaining data preprocessing pipelines. - API Integration: Experience with REST, SOAP, and other protocols for API integration. - Model Evaluation: Knowledge of metrics and benchmarks for evaluating model performance. - Front-End Tools: Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. - Version Control: Proficiency in Git and Version Control best practices. - Technical Documentation: Ability to create clear and concise technical documentation. - Problem-Solving: Strong analytical and problem-solving skills to debug and optimize code. - Collaboration: Excellent teamwork and communication skills to work effectively in cross-functional teams. - Rapid Prototyping: Ability to quickly prototype and demonstrate GenAI applications. - Continuous Learning: A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies. Good to have: - Document Intelligence: Proficiency in OCR and document intelligence using open-source and cloud tools.