Senior Staff Software Engineer, MLOps

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

Position Summary:

At NAVEX, you will join our Product Engineering team that shares a passion for designing quality solutions, embracing new technologies and delivering powerful products within our integrated risk and compliance management platform that help our customers protect their reputation and bottom line. We are changing the way people experience life at work!

As our MLOps Senior Staff Software Engineer, you will play a crucial role in the development, deployment, and maintenance of machine learning models and solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and DevOps Specialists, to ensure seamless integration of machine learning models into our production environments.

• An Inspiring Culture. Invested teammates, belonging groups, and a socially determined culture
• Meaningful Work. Innovative products and solutions with real life impact for people and organizations
• Career Growth. Stellar training and an unwavering commitment to your growth and success
• Life Flexibility. Time to care for yourself, your loved ones, and your community
• Industry Leadership. A highly reputable, fast growing and consistently profitable organization
• Real Rewards. Competitive and transparent pay practices, wellbeing programs and benefits with choice

• Set up and maintain infrastructure on cloud platforms such as AWS and Azure for machine learning workloads
• Collaborate with DevOps teams to ensure efficient deployment and scaling of machine learning models
• Design and implement end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment
• Develop and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models
• Deploy machine learning models into production environments and manage their lifecycle
• Implement monitoring solutions to track model performance, data drift, and other relevant metrics
• Work closely with data scientists to understand model requirements and assist in model development
• Collaborate with software engineers to integrate machine learning components into applications and services
• Utilize machine learning frameworks to build and deploy models.
• Stay updated on the latest advancements in MLOps tools and technologies and recommend improvements to existing workflows
• Incorporate FinOps principles into cloud cost management strategies, optimizing machine learning workloads for cost efficiency and collaborate with finance and hosting operations to monitor, analyze, and control expenses

• A bachelor's degree in computer science or be good enough that we won't notice through equivalent prior work-related experience
• 8+ years full-stack software development experience, ideally in a SaaS or micro service-based system
• Proven experience in MLOps or related roles
• Strong proficiency in cloud platforms, especially AWS or Azure
• Experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Solid understanding of CI/CD principles and tools
• Strong scripting and programming skills (e.g., Python, Bash)
• Excellent problem-solving skills
• Knowledge of FinOps principles and cloud cost management would be valuable, not required
• Excellent verbal and written communication skills and a commitment to participate effectively with a team and collaborate with people across a variety of levels with diverse backgrounds

• Each team member is required to have a career plan in place and reviewed with their manager after six months with our team.
• The starting pay for this role is $125,000 per annum with 5% MBO.
• Pay progression is based on performance.