Senior ML Ops Engineer
Fluke Corporation
Date: 2 days ago
City: Remote, Remote
Contract type: Full time
Remote
Job Description
As a Senior MLOps Engineer, you will be responsible for building and operating the tooling, infrastructure, and automation that enable machine learning models to be trained, evaluated, deployed, and monitored reliably across development, test, and production environments. You will lead the adoption of MLOps best practices across Engineering and Data Science teams and develop strategies and platforms that allow models to be continuously delivered, governed, and iterated on as part of a modern cloud-native AI/ML platform.
Responsibilities
Own the ML platform infrastructure (training, serving, feature store, model registry) with attention to cost, reliability, and security.
Lead initiatives to improve observability and monitoring for data pipelines and ML services, including data drift, model performance, and latency.
Provide on-call support for production ML services; drive incident management and disaster recovery for ML workloads.
Lead the implementation and adoption of MLOps automation (CI/CD for ML, model packaging, deployment, rollback, and retraining orchestration).
Partner with Data Science and Engineering to improve reproducibility, experiment tracking, and model governance (versioning, lineage, approvals).
Establish quality gates for datasets, features, and models (tests, validation, bias/risk checks) before promotion to production.
Drive platform and tooling improvements (build in-house frameworks, templates, and reusable components to accelerate ML delivery).
Champion Responsible AI practices: auditability, explainability, access controls, and compliance processes.
Implement And Maintain Model Monitoring Systems To Track
Prediction accuracy and performance metrics over time.
Data drift and concept drift detection to trigger retraining workflows.
Latency and resource utilization for inference services.
Alerts and dashboards for anomalies, failures, and SLA breaches.
Develop automated retraining and rollback strategies based on monitoring insights
Experience And Competencies
The following experience is expected to be successful in this role.
Required
8+ years of experience in Cloud Ops
3+ years of experience in MLOps, ML engineering, or platform/DevOps roles supporting ML in production.
Proficient with containerization and orchestration: Docker, Kubernetes.
Experience building CI/CD pipelines for ML (GitHub Actions, GitLab CI, Jenkins).
Proficient with ML lifecycle tooling: MLflow, Kubeflow, TFX, model registries.
Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch).
Experience deploying online/batch inference services and optimizing for latency and throughput.
Proficient with cloud platforms (AWS/GCP/Azure) and managed ML services.
Knowledge of data engineering foundations: feature stores, data validation, lineage.
Experience with observability: logs, metrics, traces (Prometheus, Grafana) and model/data drift monitoring.
Solid understanding of security and governance for ML systems.
Desirable
Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related fields.
Experience with infrastructure as code (Terraform, CloudFormation).
Familiarity with feature stores and data quality frameworks.
Hands-on with real-time/streaming data and online feature serving.
Experience with model explainability and Responsible AI risk checks.
Certifications in cloud ML services or Kubernetes are a plus.
Fortive Corporation Overview
Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
About Fluke
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation (www.fortive.com), Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [email protected].
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation (www.fortive.com), Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [email protected].
As a Senior MLOps Engineer, you will be responsible for building and operating the tooling, infrastructure, and automation that enable machine learning models to be trained, evaluated, deployed, and monitored reliably across development, test, and production environments. You will lead the adoption of MLOps best practices across Engineering and Data Science teams and develop strategies and platforms that allow models to be continuously delivered, governed, and iterated on as part of a modern cloud-native AI/ML platform.
Responsibilities
Own the ML platform infrastructure (training, serving, feature store, model registry) with attention to cost, reliability, and security.
Lead initiatives to improve observability and monitoring for data pipelines and ML services, including data drift, model performance, and latency.
Provide on-call support for production ML services; drive incident management and disaster recovery for ML workloads.
Lead the implementation and adoption of MLOps automation (CI/CD for ML, model packaging, deployment, rollback, and retraining orchestration).
Partner with Data Science and Engineering to improve reproducibility, experiment tracking, and model governance (versioning, lineage, approvals).
Establish quality gates for datasets, features, and models (tests, validation, bias/risk checks) before promotion to production.
Drive platform and tooling improvements (build in-house frameworks, templates, and reusable components to accelerate ML delivery).
Champion Responsible AI practices: auditability, explainability, access controls, and compliance processes.
Implement And Maintain Model Monitoring Systems To Track
Prediction accuracy and performance metrics over time.
Data drift and concept drift detection to trigger retraining workflows.
Latency and resource utilization for inference services.
Alerts and dashboards for anomalies, failures, and SLA breaches.
Develop automated retraining and rollback strategies based on monitoring insights
Experience And Competencies
The following experience is expected to be successful in this role.
Required
8+ years of experience in Cloud Ops
3+ years of experience in MLOps, ML engineering, or platform/DevOps roles supporting ML in production.
Proficient with containerization and orchestration: Docker, Kubernetes.
Experience building CI/CD pipelines for ML (GitHub Actions, GitLab CI, Jenkins).
Proficient with ML lifecycle tooling: MLflow, Kubeflow, TFX, model registries.
Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch).
Experience deploying online/batch inference services and optimizing for latency and throughput.
Proficient with cloud platforms (AWS/GCP/Azure) and managed ML services.
Knowledge of data engineering foundations: feature stores, data validation, lineage.
Experience with observability: logs, metrics, traces (Prometheus, Grafana) and model/data drift monitoring.
Solid understanding of security and governance for ML systems.
Desirable
Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related fields.
Experience with infrastructure as code (Terraform, CloudFormation).
Familiarity with feature stores and data quality frameworks.
Hands-on with real-time/streaming data and online feature serving.
Experience with model explainability and Responsible AI risk checks.
Certifications in cloud ML services or Kubernetes are a plus.
Fortive Corporation Overview
Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
About Fluke
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation (www.fortive.com), Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [email protected].
Fluke is leading the world in creating software, test tools and technology that will support customers today and in the future. We are a customer-obsessed market leader with a strong reputation for reliability, quality and safety.A wholly owned subsidiary of Fortive Corporation (www.fortive.com), Fluke is a global corporation headquartered in the greater Seattle area. Driven by the successful Fortive Business System, Fluke offers the passion of a startup with the resources of a Fortune 500 company. We are focused on the growth of our individual employees, teams and the Fluke brand.
We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [email protected].
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