Fingerprint is seeking a Senior ML Engineer to design, build, and maintain production-grade ML solutions and infrastructure for their fraud detection solutions.
Requirements
- 5+ years of experience as an ML Engineer
- Experience establishing and driving best practices for ML/MLOps in a growing technology organization
- Strong understanding of core ML concepts including supervised and unsupervised learning, model evaluation, and feature engineering
- Hands-on experience with modern ML frameworks such as CatBoost, LightGBM, TensorFlow, or PyTorch, and with large-scale data processing and transformation pipelines for training and serving models
- Experience deploying models to cloud platforms such as AWS, GCP, or Azure, using tools like SageMaker, Vertex AI, or Azure ML.
- Experience leveraging containerization and orchestration technologies such as Docker and Kubernetes
- Experience with CI/CD pipelines and MLOps tooling (e.g., MLflow, Feast, Weights & Biases).
Responsibilities
- Take AI & ML applications from prototype to production, partnering closely with Data Scientists and cross-functional teams to ensure robust and performant deployment of machine learning solutions
- Lead development for ML systems: Design, build, and maintain production-grade ML systems, with a focus on performance, scalability, and maintainability
- Architect end-to-end ML infrastructure: Own the full lifecycle of ML solutions — from feature engineering and data pipelines to model serving, CI/CD, observability, and retraining
- Collaborate across teams: Work closely with data scientists, data engineers, platform teams, and business stakeholders to deliver solutions that align with product and business needs
- Champion MLOps best practices: Establish & maintain infrastructure/tooling for versioning, experimentation, testing, deployment, and monitoring of ML models
- Enable reproducibility and scale: Develop reusable components, templates, and automation to scale ML development across use cases and teams
- This role includes participation in a shared on-call rotation.
Other
- BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience
- Ability to thrive in ambiguous environments where you get to work directly with stakeholders with minimal guidance and direction
- Proficient in English for clear communication in a global, remote team
- Fingerprint teammates need to be authorized to work from their home location
- We do not sponsor visas.
