Machine Learning Operations Associate
2 months ago
Overview
About Upbring
At Upbring, we are servants on a mission to break the cycle of child abuse. We are warriors , brave as the thousands of Texas Children and families we serve. We stand up for those who can’t speak for themselves. We are a family who values innovation, empathy, patience, understanding and trustworthiness.
What You'll Do
The Machine Learning Operations (MLOps) Associate position uses statistical analysis and machine learning to extract meaningful insights from data and develop, deploy, and maintain sophisticated predictive models. The ML Operations Associate excels in engineering models for real-world application and systems administration support. The MLOps Associate develops data products and executes projects; collaborates with internal stakeholders and external technology partners to develop predictive models; possesses a keen eye for business and strategic value; and approaches the position’s responsibilities with humility, curiosity, and passion for Upbring’s mission.
Our Upbring staff members are servant-leaders in the pursuit of breaking the cycle of child abuse and empowering others to do the same through example while embodying our core values: We are Warriors. We are Servants. We are Family.
Responsibilities
We Are Warriors | We Set the Standards for Child Welfare
Work Standards
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.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.We Are Servants | We Help Others
Teamwork
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.We Are Family | We Are Passionate & Compassionate
Building Relationships
Develop and maintain strong working relationships with Senior Leadership, program management, and internal and external customers to ensure program/department needs, goals, and objectives meet the expectations of the requestor or project with the highest quality Exhibit professional behavior and a positive attitude with both internal and external parties that reflect positively on Upbring and is consistent with Upbring’s policies and practices Actively participate in exhibiting cultural awareness and sensitivity when interacting with children, parent(s)/guardian(s), staff, and the community
Qualifications
Minimum 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 OutlookPreferred 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 (., Azure, AWS, Google Cloud) and containerization technologies (., Docker, Kubernetes). Knowledge of data engineering best practices, including version control (. Git), testing, and deployment strategies Experience working in or with the nonprofit industry, child welfare, social and family servicesPerks at Upbring
Competitive PTO & paid holidays Health, dental, vision insurance & more 403(b) Plan Employee Assistance Program 24/7 access to telemedicine and counseling services Discounted Gym MembershipsDiversity. Equity. Inclusion. Belonging
We are a diverse and inclusive Organization that recognizes our strength is in the efforts of our selfless warriors. Honoring and recognizing the value and dignity of all individuals is the cornerstone of our agency. The more diverse the individuals, thought processes and lived experiences, the greater the opportunity is to combine unique perspectives to make a greater impact. Our trust, respect, and appreciation for one another is demonstrated through our communication, celebration of progress and relentless effort to be at our best TO FULLFILL OUR MISSION OF BREAKING THE CYCLE OF CHILD ABUSE.
Upbring is an Equal Employment Opportunity/AA Employer and does not discriminate on the basis of race, color, ancestry, religion, age, sex, sexual orientation, gender, gender expression, gender identity, pregnancy, marital status, national origin, genetic information, physical or mental disability, military or veteran status.
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