Machine Learning Operations Specialist

1 week ago

Austin, Texas, United States Upbring Full time

About the Role

The Machine Learning Operations Associate position at Upbring utilizes statistical analysis and machine learning to extract meaningful insights from data and develop, deploy, and maintain sophisticated predictive models. This role excels in engineering models for real-world application and systems administration support.

Key Responsibilities

  • Collaborate in the design, implementation, and validation of predictive models and advanced machine learning algorithms to solve specific business challenges.
  • Provide backup and support for all machine learning models and data products.
  • Develop comprehensive data processing pipelines, from data collection and cleaning to analysis and modeling, ensuring data quality and accessibility.
  • Perform exploratory data analysis to uncover hidden patterns, correlations, and insights from complex datasets.
  • Deploy machine learning models into production environments, ensuring they are scalable, maintainable, and integrate seamlessly with existing systems.
  • Monitor model performance and make adjustments as needed to maintain accuracy and effectiveness.
  • Other duties and special projects as assigned.

Collaboration and Communication

  • Assist in proposal development, RFP responses, and other business and fundraising development efforts.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Develop strong data analytics and data science capabilities in a cross-functional manner, focusing on customer view of specialty hub services as well as general operations.

Teamwork and Partnership

  • Collaborate with cross-functional teams to understand business needs and translate them into technical specifications for model development.
  • Partner with appropriate departments to consult on data flows, data uses, predictive models, and reports.
  • Collaborate with the team to drive successful implementation and adoption of analytics solutions and models.
  • Assist the team in building Upbring-wide capabilities by delivering technology expertise in data modeling, data science, predictive analytics, and tools.

Qualifications

  • A bachelor's degree in computer science, engineering, data science, or a related field; or a combination of education and experience in lieu of degree.
  • Proficiency in programming languages Python, R, or Java.
  • Proficiency with machine learning frameworks, such as TensorFlow, PyTorch, Keras, or scikit-learn.
  • Proven experience with predictive modeling, feature engineering, and ML model design, training, validation, and evaluation techniques.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Strong statistical analysis and mathematical modeling skills.
  • Self-starter with the ability and discipline to work autonomously.
  • Mission-driven professional with a passion for making a positive social impact.
  • Proficiency with Microsoft Word, Excel, and Outlook.

Preferred Qualifications

  • Five (5) years of applicable work experience, or an advanced degree in computer science, engineering, data science, or a related field.
  • Advanced proficiency with Microsoft Excel.
  • Proficiency with SQL.
  • Experience with deploying and managing ML models in production environments.
  • Proficiency with cloud platforms (e.g., Azure, AWS, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Knowledge of data engineering best practices, including version control (e.g., Git), testing, and deployment strategies.
  • Experience working in or with the nonprofit industry, child welfare, social, and family services.

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