<p>Kforce has a client in Quincy, MA that is in need of a Machine Learning Engineer.</p> <p>Responsibilities:</p> <ul> <li>Design and implement machine learning models and algorithms for various applications </li><li>The Machine Learning Engineer will preprocess and analyze large datasets to extract meaningful insights </li><li>Collaborate with cross-functional teams to define ML project goals and deliverables </li><li>Optimize model performance and scalability for production environments </li><li>Monitor and maintain deployed models, ensuring accuracy and efficiency over time </li><li>Stay current with the latest research and advancements in machine learning and AI </li><li>Develop and maintain documentation for models, processes, and systems </li><li>The Machine Learning Engineer will contribute to the development of internal tools and frameworks for ML workflows </li><li>LLM Ops and Inference Serving* Proficiency in Python programming and YAML for configuration and data serialization </li><li>Experience with deploying, managing, and scaling applications using Azure Cloud Services </li><li>Strong knowledge of MongoDB and other NoSQL databases for efficient data storage and retrieval </li><li>Expertise in using Redis for caching to improve application performance and scalability </li><li>Familiarity with the Seldon Framework for deploying machine learning models and managing APIs </li><li>Experience in designing and implementing applications using microservices architecture </li><li>Proficiency in using DataDog for monitoring and observability of applications and infrastructure </li><li>Knowledge of the PySpark framework for large-scale data processing and analytics </li><li>Understanding of JSON data structures and experience in integrating JSON data into applications </li><li>Experience in using Streamlit for building interactive and user-friendly front-end applications </li></ul>