Principal Machine Learning Engineer

October 22

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OS-Cubed, Inc.

.NET development β€’ Microsoft Certified β€’ technical support β€’ dotNetNuke experts β€’ SQL Server experts

2 - 10

Description

β€’ Oversee development and deployment of ML pipelines and infrastructure, including applications of Large Language Models (LLMs) and Generative AI β€’ 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 β€’ Mentor and develop our ML Ops and Engineering talent while leveling-up our ML production capabilities β€’ Lead cross-functional teams in breakthrough AI/ML innovations β€’ Collaborate with ML Ops and Data Science teams, Digital and Technology teams, and business stakeholders β€’ Other duties as assigned by manager

Requirements

β€’ 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 β€’ Must possess a minimum of 5+ years of experience with Agile/Scrum, version control (Git), SQL/NoSQL, orchestration tools (Airflow/Dagster), and serverless technologies β€’ Hands-on experience with LLMs and Generative AI including a proven track record delivering projects from conception to production β€’ Deep understanding of ML and Deep Learning algorithms, ML system design and architecture, model development lifecycle, and distributed computing β€’ Experience with experimentation, A/B tests, and causal inference β€’ Exceptional problem-solving, analytical, and communication skills with the ability to present effectively to cross-functional stakeholders and senior leadership β€’ Up 5% travel required

Benefits

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

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