Dice is the leading career destination for tech experts at every stage of their careers. Our client, Phaxis, LLC, is seeking the following. Apply via Dice today! Our direct client is seeking a Machine Learning Engineer for a long -term consulting engagement. Compensation – $75.00- $80.00 per hour W2.W2 only, no third parties PLEASE !! This position is $ 100 % REMOTE!! Qualifications/Knowledge/Skills And Abilities Bachelor’s Degree required 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/Client 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 Drive to learn and master new technologies and techniques Able 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 Able 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 Self-motivated / Creative / Innovative Essential Job Functions And Responsibilities 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. Apply today for immediate consideration! Machine Learning Engineer – 100 % REMOTE !!- PD #J-18808-Ljbffr
LangChain cluster-analysis MLOps Artificial Neural Network (ANN) SQL Python Amazon Web Services (AWS) Machine Learning Azure Retrieval-Augmented Generation (RAG) ChatGPT4 LLM