Senior Python Engineer

As a Python Backend Developer you will be responsible for implementing and enhancing backend functionality, transforming machine learning models into production-ready solutions, and integrating MLOps best practices. Your expertise will contribute to the development and improvement of our platform, ensuring robust and scalable ML services. Key Responsibilities: Develop and maintain backend functionality for the platform using Frappe and Python. Transition machine learning solutions from Jupyter Notebooks to user-accessible services. Enhance and optimize existing machine learning services, with a focus on Natural Language Processing (NLP) and Large Language Models (LLM) using Retrieval-Augmented Generation (RAG). Implement and integrate MLOps best practices, including the development of feature stores and model registries. Expected Skills: Proficiency in Python programming. Experience with backend development frameworks, particularly Frappe. Understanding of machine learning concepts / processes. Familiarity with data engineering and preprocessing techniques. Understanding of database management and SQL. Strong problem-solving skills and ability to work collaboratively in a team environment. Nice to have: Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes and Jenkins. Hands-on experience in transitioning ML models from development to production environments. Knowledge of MLOps practices, including feature stores, model registries, and CI/CD pipelines. Understanding of MQ-based (RabbitMQ) services. This role is for you if you are/have: Experience with Frappe, in developing backend functionality using Frappe framework alongside Python, demonstrating the ability to implement and enhance robust, scalable solutions. Hands-on experience in transitioning machine learning models from development environments (e.g., Jupyter Notebooks) to production-ready services, ensuring scalability, reliability, and efficiency. Proven ability to solve complex technical problems collaboratively within a team environment, contributing to innovative solutions and continuous improvement of platform capabilities. Strong skills in SQL and database management, enabling efficient data storage, retrieval, and manipulation for backend services and machine learning models.