FICO is an analytics company helping businesses make better decisions that drive higher levels of growth and success.
Lead ML Ops/DevOps Engineer – AI Engineering
Location
United States
Posted
1 day ago
Salary
$140K - $220K / year
Seniority
Senior
Job Description
Lead ML Ops/DevOps Engineer – AI Engineering
FICO
• Design, build, and maintain scalable, resilient data and ML pipelines, infrastructure, and workflows using tools such as Terraform, GitHub Actions, ArgoCD, Helm, and others. • Automate infrastructure provisioning and configuration management using cloud-native services (preferably AWS) with tools like Terraform, CloudFormation. • Design, containerize, and manage Kubernetes (EKS) clusters and/or ECS environments in AWS. • Collaborate with development teams to optimize performance, deployment, and cost. • Partner with DevOps and SRE teams to ensure high availability, observability, scalability, and security of the data and ML infrastructure. • Work closely with Data Scientists and ML Engineers to operationalize machine learning models, including building CI/CD pipelines for model training, validation, and deployment. • Implement observability for data pipelines and ML services using tools like Prometheus, Grafana, Datadog, or similar. • Develop and maintain automated pipelines for model retraining, monitoring drift, and versioning in production. • Support experimentation and prototyping in areas such as Machine Learning and Generative AI, transitioning successful prototypes into production systems. • Ensure cloud infrastructure is secure, compliant, and cost-efficient, following best practices in governance, identity, and access management.
Job Requirements
- 8+ years of experience in DataOps, MLOps, or related fields, with 3+ years focused on ML model operationalization and workflow automation.
- Proficient in AWS services including EC2, S3, IAM, ACM, Route 53, CloudWatch, EKS, and ECS.
- Experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, and Helm.
- Familiarity with CI/CD for ML pipelines, GitOps practices, and tools like GitHub Actions, Jenkins, or Argo Workflows.
- Strong scripting and automation skills using Python, or GitHub workflows.
- Solid understanding of observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or OpenTelemetry).
- Solid understanding of security best practices for cloud and Kubernetes environments, including secrets management, identity & access control, and policy enforcement.
- Strong understanding with data governance, lineage, and metadata management is a plus.
- Excellent collaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams.
- A bachelor’s degree in computer sciences, or a related discipline, or equivalent hands-on industry experience.
Benefits
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
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