Join Bonterra as a Senior AI-ML Engineer to architect and deploy advanced machine learning models that empower nonprofit organizations with data-driven insights. Collaborate with innovative teams to solve real-world challenges in social impact through cutting-edge AI technologies.

Bonterra is seeking a talented Senior AI-ML Engineer to join our mission-driven team, where your expertise will help nonprofits leverage AI for greater social good. In this role, you will design, build, and optimize machine learning models to analyze complex datasets from various social sectors, enabling better decision-making and impact measurement.

You will work closely with product managers, data scientists, and software engineers to integrate AI solutions into our SaaS platform. Responsibilities include leading ML model development from concept to production, conducting research on emerging AI trends, and ensuring models are robust, efficient, and aligned with ethical standards.

Our remote contract position offers the flexibility to contribute from anywhere in the US while being part of a supportive team dedicated to positive change. If you are passionate about using technology for social impact, apply today to help shape the future of nonprofit technology at Bonterra.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field; PhD preferred
• 5+ years of experience in AI/ML engineering, with a focus on developing scalable models
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
• Strong experience with data pipelines, ETL processes, and cloud platforms like AWS or GCP
• Knowledge of ethical AI practices and bias mitigation in ML models
• Excellent problem-solving skills and ability to work in agile environments

• Competitive monthly salary with performance bonuses
• Flexible remote work schedule and opportunities for professional development
• Comprehensive health, dental, and vision insurance coverage
• Generous paid time off and remote work stipend
• Access to cutting-edge tools and ongoing training in AI/ML technologies
• Collaborative culture focused on social impact and innovation