Machine Learning Engineer - Remote, United States - Revolution Technologies, LLC

Description

• Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
• Collaborate with data scientists, data engineers, and data architects on production systems and applications.
• Identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate responses.
• Assess the effectiveness and accuracy of new data sources and execute data wrangling techniques.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience building and operationalizing retrieval augmented generation (RAG) frameworks.
• Experience utilizing LLMs to provide software automation capability integrations.
• Experience configuring vectors databases for semantic search.
• Experience with LangChain and sentence transformer frameworks.
• Experience with ChatGPT4 (or comparable models).
• Experience with MLOps.
• Strong understanding of AI/ML cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS/Azure preferred).
• Experience using Python and SQL to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• A drive to learn and master new technologies and techniques.
• Ability to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis.
• Excellent written and verbal communication skills.
• Ability to present and explain technical concepts to non-technical audiences.
• Comfortable working in a dynamic and changing environment.
• Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions.

• 8 hour shift