FICO (NYSE: FICO)is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
'As aDataOps/ DevOps Engineer on our Generative AI team,you’llbe at thecutting edgeof language model applications, building innovative solutions across key areas of the FICO platform—including fraud detection, decision automation, workflow orchestration, and system optimization. You will deploy production systems, troubleshoot operational issues, and integrate services at scale. You’llhave the opportunity to make a measurable impact by bringing next-generation AI capabilities into production, collaborating with a world-class team to build robust, scalable infrastructure and accelerate innovation across FICO’s platform.' - VP, AI Engineering
WhatYou’llContribute
• Design, build, andmaintainscalable, resilient data and ML pipelines, infrastructure, and workflows using tools such as GitHub Actions,ArgoCD,Crossplane, Terraform, Helm, and others.
• Automate infrastructure provisioning and configuration management usingcloud-native services(preferably AWS) with tools like Terraform, CloudFormation, orCrossplane.
• Design, containerize, and manageKubernetes (EKS)clusters and/orECSenvironments in AWS. Collaborate with development teams tooptimizeperformance, deployment, and cost.
• Partner with DevOps and SRE teams to ensurehigh availability, observability, scalability, andsecurityof the data and ML infrastructure.
• Work closely with Data Scientists and ML Engineers tooperationalize machine learning models, including building CI/CD pipelines for model training, validation, and deployment.
• Implement observability for data pipelines and ML services using tools likePrometheus, Grafana, Datadog, or similar.
• Develop andmaintainautomated pipelines for model retraining, monitoring drift, and versioningin production.
• Support experimentation and prototyping in areas such asMachine Learning and Generative AI, transitioning successful prototypes into production systems.
• Ensure cloud infrastructure issecure, compliant, and cost-efficient, following best practices in governance, identity, and access management.
WhatWe’reSeeking
• 7+ years of experienceinDataOps,MLOps, or related fields, with at least2 years focused on ML model operationalization and workflow automation.
• Proficient inAWS servicesincluding EC2, S3, IAM, ACM, Route 53, CloudWatch, EKS, and ECS.
• Experience withinfrastructure as code (IaC)tools such as Terraform, CloudFormation, and Helm.
• Familiarity withCI/CD for ML pipelines,GitOpspractices, and tools like GitHub Actions, Jenkins, or Argo Workflows.
• Strong scripting and automation skills usingPython, or GitHub workflows.
• Understanding ofobservability and monitoringtools (e.g., Prometheus, Grafana, Datadog, orOpenTelemetry).
• Solid understanding ofsecurity best practicesfor cloud and Kubernetes environments, including secrets management, identity & access control, and policy enforcement.
• Familiarity withdata governance, lineage, and metadata managementis a plus.
• Excellentcollaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams.
• Abachelor’s degreeincomputersciences, Engineering, or a related discipline, or equivalent hands-on industry experience.
Our Offer to You
• 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.
• The targeted base pay range for this role is: $119,000 to $187,000 with this range reflecting differences in candidate knowledge, skills and experience.
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Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. 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.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 s