Description
The Opportunity
As a DataOps / DevOps/ MLOps Engineer on our Generative AI team, you’ll be at the cutting edge of language model applications, building innovative solutions across key areas of the FICO platform—including fraud detection, decision automation, workflow orchestration, and system optimization. Were looking for a highly skilled engineer with a strong background in digital product development, a passion for innovation, and hands-on experience in deploying production systems, troubleshooting operational issues, and integrating services at scale. Thrives in fast-paced, agile environments, champions DevOps and CI/CD best practices, and is committed to delivering high-impact, customer-centric solutions. You’ll have 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.<br/><br/>What You’ll Contribute<br/><br/>Design, build, and maintain scalable, resilient data and ML pipelines, infrastructure, and workflows using tools such as GitHub Actions, Terraform, Helm, ArgoCD, Crossplane and others.
Automate infrastructure provisioning and configuration management using cloud-native services (preferably AWS) with tools like Terraform, CloudFormation, or Crossplane.
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.<br/><br/>What We’re Seeking<br/><br/>8+ years experience in DataOps, MLOps, or related fields, with at least 2+ years focused on ML model operationalization and workflow automation.
Proficient in AWS services including EC2, S3, IAM, ACM, Route 53, CloudWatch, EKS, and ECS.
Strong experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, and Helm.
Experience with CI/CD for ML pipelines, GitOps practices, and tools like GitHub Actions, Jenkins, or Argo Workflows.
Strong scripting and automation skills using Bash, Python, or GitHub workflows.
Understanding of observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or OpenTelemetry).
Experience with feature stores (e.g., Feast, Tecton) and knowledge of data mesh, lakehouse architectures, or modern data stack concepts.
Comfortable working with structured and unstructured data across various storage and pipeline systems.
Solid understanding of security best practices for cloud and Kubernetes environments, including secrets management, identity & access control, and policy enforcement.
Familiarity 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/Masters degree in computer sciences, Engineering, or a related discipline, or equivalent hands-on industry experience.<br/><br/>About US
FICO, originally known as Fair Isaac Corporation, is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. Known for pioneering the FICO® Score, a standard in consumer credit risk assessment, FICO combines advanced analytics, machine learning, and sophisticated algorithms to drive smarter, faster decisions across industries. From financial services to retail, insurance, and healthcare, FICOs innovative solutions help organizations make precise decisions, reduce risk, and enhance customer experiences. With a strong commitment to ethical use of AI and data, FICO is dedicated to improving financial access and inclusivity, fostering trust, and driving growth for a digitally evolving world.<br/><br/>
