Machine Learning Operations Associate

1 week ago

Austin Texas, United States Upbring Full time
About Upbring

We are a non-profit organization dedicated to breaking the cycle of child abuse. Our mission is to empower children and families to overcome adversity and thrive.

Job Summary

We are seeking a highly skilled Machine Learning Operations Associate to join our team. As a key member of our data science team, you will be responsible for developing and deploying predictive models to drive business decisions and improve outcomes for our clients.

Key Responsibilities
  • Design, implement, and validate 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.
Requirements
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • 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.
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 non-profit industry, child welfare, social, and family services.
What We Offer

We offer a competitive salary, comprehensive benefits package, and a dynamic work environment that values innovation, collaboration, and social responsibility.

We are an equal opportunity employer and welcome applications from diverse candidates who share our commitment to breaking the cycle of child abuse and empowering children and families to thrive.

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