<p>Kforce has a client that is seeking a Senior Machine Learning Engineer in Phoenix, AZ. This role will work 4-5 days onsite per week for a 6 month contract, with potential extension. In this role, the Senior ML Engineer will design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps).* 6-8 years of experience</p> <ul> <li>Hands-on experience in Time series forecasting/prediction, anomaly detection ML algorithms </li><li>Hands-on experience in event classification and correlation ML algorithms </li><li>Hands-on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization </li><li>Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure </li><li>Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery </li><li>Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch </li><li>Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL </li><li>Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java </li><li>Version Control: Experience with Git and other version control systems </li><li>Testing: Knowledge of testing frameworks and methodologies </li><li>Agile Development: Experience with agile development methodologies </li><li>Communication and Collaboration: Strong communication and collaboration skills </li></ul> <p>Experience with:</p> <ul> <li>Programming languages: Python, R </li><li>ML Frameworks: TensorFlow, PyTorch, scikit-learn </li><li>Cloud platforms: Google Cloud, Azure </li></ul>