Senior Staff Software Engineer, MLOps

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If you are passionate about MLOps, have a strong technical background, and thrive in a collaborative environment, we invite you to apply for this exciting opportunity. Join us in shaping the future of machine learning innovation!

We Offer You:

• 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

What You Will Do:

• Set up and maintain infrastructure on cloud platforms such as AWS and Azure for machine learning workloads

• Work as a part of our 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

What You Will Need:

• 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)

• Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy

• Experience with data pipeline tools, such as Apache Kafka, and distributed processing systems, such as Apache Spark

• 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

We believe each member of our team deserves to see a path forward to achieving their career and financial goals.

• 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.

Our pay programs are just one element of our commitment to Be the ONE place you want to thrive in life. Check out NAVEX's career page to learn about our innovative people programs designed to create one powerful life experience for YOU!

NAVEX is an equal opportunity employer, including disability/vets.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!