Deliver modern machine learning pipelines and models within Databricks to increase the speed of decision-making, leverage ML to improve business operations workflows and develop new product offerings.
Requirements
- Extensive experience with machine learning in a production environment, particularly using Databricks
- Proven experience in the B2B payments industry or in similar areas pertaining to payments and account fraud detection
- Strong technical skills in data engineering and machine learning, including a high degree of proficiency in SQL and Python
- Experience working with external data vendors.
- Familiarity with a wide range of machine learning techniques, both supervised and unsupervised, and experience with frameworks such as scikit-learn, TensorFlow, or PyTorch
- Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings
- Familiarity with SaaS business model/metrics and/or previous experience in FinTech
Responsibilities
- Manage and maintain machine learning pipelines and models within Databricks, including responsibilities that cover research-through-deployment (i.e., feature engineering, containerization, orchestration, model monitoring/validation)
- Identify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideas
- Build internal tools (AI-enabled solutions) that help the business team make data-driven decisions and/or automate manual processes
- Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement/validation techniques, etc. to increase efficacy and business outcomes
- Work with external data vendors to integrate and leverage data for model enhancement
- Present key findings and insights to stakeholders in a clear and concise manner
- Prioritize and manage multiple projects and development activities independently
Other
- ONLY US Citizens or GC holders
- Contribute to the team’s knowledge base and guide junior team members as needed
