Greenbox Capital ยท 19 hours ago
Machine Learning Engineer
United States
Full-time
Remote
Mid, Senior Level
5+ years exp
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Responsibilities
Designs and implements MLOps CI/CD pipelines for new data science initiatives
Designs and implements LLMOps CI/CD pipelines for our cutting-edge Data & Analytics use cases
Leverages Azure DevOps for tracking, managing, and prioritizing work efforts.
Partners with Product and development teams to achieve project objectives through iterative delivery.
Collaborates with internal and external technology and business partners to implement changes and enhancements.
Qualification
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Required
Masters Degree in Machine Learning, Computer Science, Quantitative Finance, Statistics, or Industrial Engineering.
5+ years of experience in a ML Engineering role.
Specific experience with 'scale and exit' organizations and their unique challenges to achieve large scale within smaller business constraints.
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 Agile methodologies, Azure DevOps (preferred), JIRA, or other work management tools.
Ability to approach complex problems methodically and creatively.
Strong team player who can work effectively with data scientists, engineers, and stakeholders.
Comfortable with rapidly changing environments and technologies.
Meticulous in ensuring data quality and pipeline reliability.
Clear and concise in both written and verbal communication, able to explain technical concepts to non-technical stakeholders.
Eagerness to stay updated with the latest trends and advancements in MLOps and data engineering.
Proficiency in using Databricks for building and managing data pipelines.
Experience with MLflow for tracking experiments, managing models, and deploying machine learning workflows.
Knowledge of Delta Lake for ensuring data reliability and enabling ACID transactions.
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.
Experience with continuous integration and continuous deployment (CI/CD) practices, using tools like Azure DevOps or GitHub Actions.
Proficiency in Azure cloud services, including Azure Data Factory, Azure Storage, and Azure Machine Learning.
Strong understanding of version control systems, particularly Git.
Experience with data visualization tools like Power BI or Databricks SQL for reporting and analysis.
Preferred
Experience in the financial services or FinTech industry, particularly in MCA services.
Certifications such as Databricks Certified Machine Learning Professional or Microsoft Certified Azure AI Engineer Associate
Company
Greenbox Capital
Greenbox Capital provides financial services such as merchant cash advances, business line of credit, small business and collateral loans.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Jordan Fein
Founder and CEO
Company data provided by crunchbase
