NAVEX
Senior Staff Software Engineer, MLOps
NAVEX, Charlotte, North Carolina, United States, 28245
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.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 workloadsWork as a part of our DevOps teams to ensure efficient deployment and scaling of machine learning modelsDesign and implement end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deploymentDevelop and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning modelsDeploy machine learning models into production environments and manage their lifecycleImplement monitoring solutions to track model performance, data drift, and other relevant metricsWork closely with data scientists to understand model requirements and assist in model developmentCollaborate with software engineers to integrate machine learning components into applications and servicesUtilize machine learning frameworks to build and deploy models.Stay updated on the latest advancements in MLOps tools and technologies and recommend improvements to existing workflowsIncorporate 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 expensesWhat You Will Need:A bachelor's degree in computer science or equivalent prior work-related experience8+ years full-stack software development experience, ideally in a SaaS or micro service-based systemProven experience in MLOps or related rolesStrong proficiency in cloud platforms, especially AWS or AzureExperience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnExperience 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 accuracyExperience with data pipeline tools, such as Apache Kafka, and distributed processing systems, such as Apache SparkSolid understanding of CI/CD principles and toolsStrong scripting and programming skills (e.g., Python, Bash)Excellent problem-solving skillsKnowledge of FinOps principles and cloud cost management would be valuable, not requiredExcellent 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 backgroundsWe 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!
#J-18808-Ljbffr
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.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 workloadsWork as a part of our DevOps teams to ensure efficient deployment and scaling of machine learning modelsDesign and implement end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deploymentDevelop and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning modelsDeploy machine learning models into production environments and manage their lifecycleImplement monitoring solutions to track model performance, data drift, and other relevant metricsWork closely with data scientists to understand model requirements and assist in model developmentCollaborate with software engineers to integrate machine learning components into applications and servicesUtilize machine learning frameworks to build and deploy models.Stay updated on the latest advancements in MLOps tools and technologies and recommend improvements to existing workflowsIncorporate 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 expensesWhat You Will Need:A bachelor's degree in computer science or equivalent prior work-related experience8+ years full-stack software development experience, ideally in a SaaS or micro service-based systemProven experience in MLOps or related rolesStrong proficiency in cloud platforms, especially AWS or AzureExperience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnExperience 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 accuracyExperience with data pipeline tools, such as Apache Kafka, and distributed processing systems, such as Apache SparkSolid understanding of CI/CD principles and toolsStrong scripting and programming skills (e.g., Python, Bash)Excellent problem-solving skillsKnowledge of FinOps principles and cloud cost management would be valuable, not requiredExcellent 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 backgroundsWe 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!
#J-18808-Ljbffr