Senior Machine Learning Engineer

Responsibilities

• Design, build, and maintain ML infrastructure for data extraction, transformation, and loading
• Develop and manage data pipelines and workflows for machine learning models
• Design and implement machine learning models for underwriting and financial services
• Collaborate with data scientists, software engineers, and product managers to integrate models into production
• Monitor and evaluate deployed model performance and implement continuous optimization
• Design and implement A/B testing and experiments to align models with business goals
• Provide guidance and mentorship to junior engineers

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of experience in machine learning engineering with a track record of deploying models in production
• Proficiency in Python or Ruby
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Familiarity with MLOps practices and CI/CD for machine learning models
• Experience with cloud services (AWS or GCP) and containerization (Docker or Kubernetes)
• Strong analytical and problem-solving skills regarding complex datasets

About the Company

Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. We have built a suite of products that help millions of people build credit, access liquidity, and save money. We value extreme ownership, clear communication, and a strong sense of craftsmanship.