Fico
Lead ML Ops/DevOps Engineer - AI Engineering
Work from Home, United States
Sponsorship not specified$140k-$220kDetected 8 days ago
PythonGitAWSCloud PlatformsKubernetesTerraformHelmCI/CDGitHub ActionsJenkinsPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringMachine LearningData EngineeringNLPLLMsMLOpsAI OrchestrationA/B TestingCybersecurityResearch
About the role
- You will deploy production systems, troubleshoot operational issues, and integrate services at scale.
Responsibilities
- Design, containerize, and manage Kubernetes (EKS) clusters and/or ECS environments in AWS. Collaborate with development teams to optimize performance, deployment, and cost.
- Develop and maintain automated pipelines for model retraining, monitoring drift, and versioning in production.
- At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics.
Requirements
- 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.
Nice to have
- Automate infrastructure provisioning and configuration management using cloud-native services (preferably AWS) with tools like Terraform, CloudFormation.
- Ensure cloud infrastructure is secure, compliant, and cost-efficient, following best practices in governance, identity, and access management.
- 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.
Skills
- Strong scripting and automation skills using Python, or GitHub workflows.
- Solid understanding of observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or OpenTelemetry ).
Compensation
- $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.
Benefits
- Support experimentation and prototyping in areas such as Machine Learning and Generative AI, transitioning successful prototypes into production systems.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
Company info
- 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.
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
Visa & Work Authorization
- candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from Fico's careers page and normalized into a canonical job model.