Xpetize - Python Developer - RAG/LLM Model (3-5 yrs)

Job Description :

- Design, develop, and maintain backend services using Flask and Django for integrating and deploying RAG-based LLM models.

- Develop RESTful APIs and data pipelines to interact with AI models and integrate them into client-facing applications.

- Build and maintain database models, manage large data sources, and optimize API endpoints for performance.

Model Integration and Deployment :

- Implement and integrate RAG-based LLM models into production environments using Flask and Django frameworks.

- Work closely with AI and data science teams to ensure proper data flow and retrieval between the model and backend systems.

- Optimize model performance for inference efficiency, memory management, and response time.

Model Optimization and Fine-Tuning :

- Fine-tune and optimize LLMs to meet specific business use cases, such as content generation, summarization, and question answering.

- Collaborate with machine learning engineers to improve accuracy, reduce inference times, and scale model usage.

- Monitor and debug model performance and address any issues related to latency or correctness in the model's output.

Data Management & Analysis :

- Handle large datasets and develop data pipelines to provide inputs for training and testing models.

- Ensure proper preprocessing of input data to enhance model performance.

- Write and optimize SQL/NoSQL queries for data extraction, transformation, and storage related to the models.

Collaboration & Continuous Improvement :

- Collaborate with cross-functional teams, including product managers, AI researchers, and front-end developers, to design solutions that meet business goals.

- Write unit and integration tests to ensure the quality of backend components.

- Follow Agile practices for development, including participating in sprint planning, stand-ups, and code reviews.

Model Monitoring and Maintenance :

- Implement monitoring systems to ensure model performance, and address any degradation or anomalies.

- Continuously discover and implement new techniques to improve the efficiency and reliability of the deployed models.

Required Skills and Qualifications :

- 3+ years of experience in Python development with expertise in Flask and Django.

- Strong understanding of AI/ML concepts and experience working with Retriever-Augmented Generation (RAG) models and LLMs (e., GPT, BERT, T5).

- Experience with model deployment and integration of AI models into backend applications.

- Proficiency in Python, including working with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy.

- Experience with developing RESTful APIs using Flask or Django REST Framework (DRF).

- SQL/NoSQL Database experience for managing and retrieving large datasets.

- Version control using Git for collaboration.

- Familiarity with deploying applications to cloud platforms (AWS, GCP, Azure).

- Strong problem-solving skills and ability to troubleshoot complex production issues.

Preferred Skills :

- Knowledge of CI/CD pipelines for deploying Python applications.

- Familiarity with Docker and Kubernetes for containerization and orchestration of model deployments.

- Experience with Natural Language Processing (NLP) and data preprocessing techniques.

- Knowledge of distributed computing for scaling AI models.

- Familiarity with tools like FastAPI for faster API development and deployment.

- Knowledge of AI performance monitoring and optimization techniques for large models in production.

- Exposure to marketing analytics, sentiment analysis, or content generation with LLMs.

Educational Qualifications :

- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.

- Master's degree in a relevant field is a plus