Principal Machine Learning Engineer

October 22

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OS-Cubed, Inc.

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.NET development • Microsoft Certified • technical support • dotNetNuke experts • SQL Server experts

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Description

• Oversee development and deployment of ML pipelines and infrastructure, including applications of Large Language Models (LLMs) and Generative AI • Stay current on state-of-the-art methods and technologies; identify opportunities for innovation that pushes limits and helps drive step-change in our growth, productivity, and customer experience • Mentor and develop our ML Ops and Engineering talent while leveling-up our ML production capabilities • Lead cross-functional teams in breakthrough AI/ML innovations • Collaborate with ML Ops and Data Science teams, Digital and Technology teams, and business stakeholders • Other duties as assigned by manager

Requirements

• Must possess a minimum of 5+ years of experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch), cloud computing, data processing, API development, ML Ops, CI/CD pipelines, container orchestration, and coding languages • Must possess a minimum of 5+ years of experience with Agile/Scrum, version control (Git), SQL/NoSQL, orchestration tools (Airflow/Dagster), and serverless technologies • Hands-on experience with LLMs and Generative AI including a proven track record delivering projects from conception to production • Deep understanding of ML and Deep Learning algorithms, ML system design and architecture, model development lifecycle, and distributed computing • Experience with experimentation, A/B tests, and causal inference • Exceptional problem-solving, analytical, and communication skills with the ability to present effectively to cross-functional stakeholders and senior leadership • Up 5% travel required

Benefits

• annual bonus of up to 30% above base salary • long term incentive • health insurance • pre-tax spending accounts • retirement benefits • paid time off • short-term and long-term disability • employee stock purchase plan • life insurance