Lead ML Ops/DevOps Engineer - AI Engineering

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 a Lead ML Ops/DevOps 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 and also internal productivity. You will deploy production systems, troubleshoot operational issues, and integrate services at scale. 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. What You’ll Contribute 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. What We’re Seeking 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. 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: $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience. #LI-LS1 #LI-Remote 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 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at