FICO
FinTech
MLEngineer
“ML Engineer at FICO. Skills: Machine Learning, Distributed Systems, Cloud Engineering, Software Development. Design and implement scalable ML systems. Develop and maintain ML models”
What You'll Achieve.
Improve model accuracy; Reduce latency; Increase system reliability; Deliver high-quality software
Industry & Context.
Root cause analysis; Troubleshooting; Analytical problem solving
What They're Looking For.
Must Have
5+ years of experience in software development, Experience with Python and Java, Experience with cloud platforms (AWS, Azure, or GCP), Experience with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines, Experience with relational databases (e.g., PostgreSQL, MySQL), Experience with NoSQL databases (e.g., MongoDB, Cassandra), Experience with distributed systems, Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), Experience with data processing frameworks (e.g., Spark, Flink), Experience with version control systems (e.g., Git)
Nice to Have
Master's degree or PhD in Computer Science or related field, Experience with MLOps practices, Experience with real-time data processing, Experience with graph databases, Experience with message queues (e.g., Kafka, RabbitMQ), Experience with infrastructure as code (e.g., Terraform, CloudFormation), Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack), Experience with security best practices, Contributions to open-source projects
What You'll Do.
Design and implement scalable ML systems
Develop and maintain ML models
Build and manage data pipelines
Deploy and monitor ML models in production
Collaborate with cross-functional teams
Optimize ML system performance
Troubleshoot and resolve issues
Stay up-to-date with ML advancements
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Data scientists; Software engineers
Communication Scope
Technical documentation; Presentations
Process & Methodology
Agile methodologies, Scrum
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