Senior Machine Learning Engineer

at  Crisis Prevention Institute

OUR STORY:

Crisis Prevention Institute Inc. is the worldwide leader in evidence-based de-escalation and crisis prevention training, and dementia care services. Since 1980, we’ve helped train more than 15 million people within service-oriented industries including education, healthcare, behavioral health, long-term care, human services, security, corrections, corporate, and retail.
At CPI, we are dedicated to changing behaviors and reducing conflict for the Care, Welfare, Safety, and SecuritySM of everyone. We believe in the power of empathy, compassion, and meaningful connections. We believe personal safety and security are the antidotes to fear and anxiety. It’s a philosophy that is central to everything we do, and traces back to our beginning. It is what defines and differentiates us, and informs our core beliefs.

THE ROLE:

The Senior Machine Learning (ML) Engineer is a newly established, pivotal role at CPI designed to shape the future of our Artificial Intelligence (AI) and advanced analytics strategy. The Senior ML Engineer will focus on AI and ML engineering best practices to meet and exceed internal and external client expectations. In this position, you will design, develop, test, deploy, and document AI and ML solutions to drive growth, optimize processes, and augment decision-making.

WHAT YOU GET TO DO EVERYDAY:

• Define the standards for CPI’s platform architecture, operations, data quality, and governance.
• Build advanced ML models (behavior segmentation, churn prediction, purchase propensity, r-causal inference).
• Influence CPI’s approach to AI, directing and guiding the technology landscape.
• Transform data into actionable insights that drive growth and innovation.
• Co-architect CPI’s next gen cloud data analytics platform and infuse it with state-of-the-art ML capabilities.
• Implement and fine-tune ML algorithms (supervised, unsupervised, deep learning).
• Contribute to CPI’s data engineering, modeling, and dashboard development.
• Manage the software development lifecycle (SDLC) for ML models (deployment, monitoring, optimization)
• Establish continuous integration and continuous delivery (CI/CD) pipelines for model updates.
• Build retrieval-augmented generation (RAG) architecture based large language models (LLM) applications.
• Monitor and maintain the health of solutions generated.
• Provide task breakdowns, identify dependencies, and provide effort estimates.
• Evaluate the latest technology trends that align with CPI opportunities.
• Develop proof-of-concept prototypes.
• Develop positive relationships with clients, stakeholders, and internal teams.
• Understand business goals, drivers, context, and processes to suggest technology solutions that provide innovation for the organization.
• Work collaboratively on creative solutions with Engineers, Product Managers and Analysts in an agile work environment.
• Work alongside a team of passionate professionals, sharing your knowledge and fostering a culture of continuous learning and improvement.
• Perform, design, and code reviews.
• Make business decisions that are financially responsible, accountable, justifiable, and defensible in accordance with organization policies and procedures.
• Perform other position-related duties as assigned.