Staff AI/ML Applied Engineer
| Company | Esusu |
|---|---|
| Location | Washington, USA, California, USA, Washington, DC, USA, Georgia, USA, Colorado, USA, New York, NY, USA, Illinois, USA |
| Salary | $200000 – $235000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Expert or higher |
Requirements
- Master’s degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis. We will also consider candidates with a relevant bachelor’s degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics.
- Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
- Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
- Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
- Very strong knowledge of Python and SQL.
- Strong experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models.
- Experience in working with model registry tools such as MLflow, SageMaker Model Registry, or other similar systems, to track, version, and manage machine learning models throughout their lifecycle.
- Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
- Experience building ML models with PyTorch, Scikit-learn, and GenAI models.
- Experience working with LLM frameworks such as HuggingFace libraries and with agent-based frameworks such as LangChain and Mirascope.
- Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
Responsibilities
- Apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
- Work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems.
- Collaborate with key managers, product owners, and other peers and cross-functional partners that rely, produce, and interact with the data domain across the organization.
- Focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments.
- Translate model insights into actionable strategies that drive business decisions and financial inclusion.
- Coach and mentor fellow data analysts and data engineers.
- Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
- Exhibit and foster Esusu’s culture and operating principles.
Preferred Qualifications
- PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
- Experience working in FinTech or PropTech sectors.
- Familiarity with the dynamics of startup environments.
- Experience with microservices.
- Experience working in SOC2-certified, ISO-certified, or similar organizations.