Machine Learning Operations Engineer

Pinnacol Assurance does just one thing, and does it better than anyone: provide caring workers’ compensation protection to Colorado employers and employees. And while we may be a little biased, we believe that our work shapes communities and changes lives.

We’ve been around for more than  100 years, but don’t let that fool you. Pinnacol is committed to taking care of Colorado employers and workers in the most innovative ways. We celebrate continuous improvement, new ideas, compassion, teamwork, integrity and excellence.

As a Machine Learning Operations (MLOPs) Engineer you will optimize the deployment, integration, and maintenance of our internal AI chat and search services within a workers’ compensation data ecosystem. MLOPs Engineers focus on API-based serving/consumption of internal models and public large language models (LLMs) as well as the robust CI/CD pipeline framework and container-based, cloud infrastructure which supports them. Our highly collaborative data science team works closely alongside the MLOPs Engineers. MLOPs engineers are expected to lead on software development best practices and deployment aspects of machine learning solutions.

• Model Deployment: Implement, and scale production-grade deployment pipelines for large language models in AI-powered chat and search applications.
• CI/CD Optimization: Enhance our continuous integration and continuous delivery processes, specifically focused on machine learning workflows and the unique demands of AI models.
• Cloud Infrastructure Expertise: Develop and maintain cloud infrastructure to support efficient model training, deployment, and continuous improvement.
• Software Development Best Practices: Apply and promote exceptional software development principles to ensure robustness, scalability, and maintainability of machine learning systems.
• Data Pipeline Enhancement: Collaborate with the data science team to streamline data pipelines, optimizing the flow of medical, claims, and policy data into our AI chat/search services.
• Team Collaboration and Knowledge-Sharing: Collaborate with other team members on deployment strategies, tools, and techniques specific to large language models.
• Technical Documentation: Maintain detailed documentation of deployment processes, infrastructure, and best practices to ensure knowledge transfer and system longevity.
• Participate in code reviews and technical design discussions.
• Stay up to date on cutting-edge advancements in machine learning deployment and infrastructure.
• Contribute to the team's knowledge base through workshops and presentations.
• Additional duties as assigned

• Strong Software Development Foundations: Proven experience with Python, SQL, and software engineering principles.
• Deployment Experience: Demonstrable experience deploying models in production environments.
• Cloud Proficiency: Deep understanding of container-based application deployment within a cloud architecture, ideally within Google Cloud Platform.
• CI/CD Expertise: Experience streamlining CI/CD processes for machine learning projects, including model versioning, testing, monitoring, and other best practices.
• Collaborative Mindset: Ability to work effectively with data scientists, engineers, and stakeholders throughout the development lifecycle.
• Passion for AI Applications: A passion for transforming complex data into powerful AI-driven chat and search tools.

• Experience with containerization technologies (e.g. Docker, Kubernetes, etc.)
• Familiarity with AI infrastructure tools (e.g. Vertex AI, Kubeflow, Mlflow, etc.)
• Experience with Natural Language Processing (NLP) techniques and libraries (e.g., spaCy, Hugging Face Transformers, etc.)
• Background in the healthcare or insurance domain

• Analytical thinking: Analyzing and synthesizing information to understand issues, identify options, and support sound decision making. 
• Strategic thinking: Understands and processes complex information and exercises sound judgment, considering the situation, the issues, the key players, and levels of authority involved. Proposes a course of action that further the objectives, priorities and vision of organization. 
• Creativity and innovation: Generating viable, new approaches and solutions.
• Initiative: Dealing with situations and issues proactively and persistently, seizing opportunities that arise.
• Teamwork: Working collaboratively with others to achieve organizational goals.

We can’t do our work without people like you.
Our employees are extraordinary and committed to making a difference. Here’s some of the ways we show our appreciation.

• You’ll get to choose from diverse benefit offerings for medical, dental and vision.
• We enjoy a positive, collaborative work environment. We are hard workers and high performers.
• Pinnacol is on a journey to embody diversity, equity and inclusion. We’re committed to creating a culture that deeply values differences, where everyone feels like they belong.
• . Enjoy 20 paid days off your first full year plus 9 paid holidays.
• . Sign up for unique wellness programs, including on-site, company-paid fitness facilities and classes
• . We promote a learning culture to help you master your current job and cultivate the skills of the future through a variety of on-site, online, and off-site professional development opportunities.
• . Through our employee volunteer program, Pinnacol in Action, employees receive paid time off to volunteer with Colorado nonprofits.
• . You’ll have the opportunity to earn a quarterly incentive, up to 12 percent of your annual base salary, when your team exceeds their goals and objectives.

We consider what you’d like to be paid, the skills and experience you bring, what similar jobs pay in the Denver area and make sure there’s equal pay for equal work among those you’ll be working with. The compensation amount for this role is targeted at $142,050 - $148,600. Final offer amounts are determined by multiple factors including your experience and expertise and may vary from the amounts listed above.

Pinnacol is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].