Machine Learning Engineer

December 28, 2024

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Greenbox Capital

WebsiteLinkedInAll Job Openings

Merchant Cash Advances • Invoice factoring • Loan servicing • Small Business Loans • working capital

51 - 200 employees

Founded 2012

Description

• The Machine Learning Engineer on our Data Science team plays a pivotal role in developing and deploying advanced machine learning models. • Designs, implements and maintains MLOps and LLMOps pipelines for Greenbox Capital data science use cases. • Collaborates closely with data scientists, engineers, and business stakeholders to design and optimize scalable machine learning solutions. • Your expertise will be crucial in transforming raw data into actionable insights, enhancing our product offerings, and improving operational efficiency.

Requirements

• 5+ years of experience in a ML Engineering role. • Experience with Agile methodologies, Azure DevOps (preferred), JIRA, or other work management tools. • Strong hands-on experience with ML models in various fields, e.g., Natural Language Processing, statistical learning theory, Large Language Models, computer vision. • Experience with continuous integration and continuous deployment (CI/CD) practices, using tools like Azure DevOps or GitHub Actions. • Experience with MLflow for tracking experiments, managing models, and deploying machine learning workflows. • Proficiency in Azure cloud services, including Azure Data Factory, Azure Storage, and Azure Machine Learning. • Strong skills in Python and SQL. • Experience in building and optimizing data pipelines, ETL processes, and data integration. • Understanding of machine learning algorithms and experience in model development and deployment using libraries such as TensorFlow, PyTorch, and Keras. • Prior experience building and maintaining strong relationships with a wide range of people, demonstrating an understanding of social cues and adapting communication to different audiences.