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Staff AI/ML Applied Engineer
@Esusu
[Hiring] Staff AI/ML Applied Engineer @Esusu
Apr 03, 2025 - Esusu is hiring a remote Staff AI/ML Applied Engineer. 💸 Salary: $200,000 - $235,000 annually. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
Esusu is seeking a ML Engineer to 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 cross-functional partners that rely on, produce, and interact with the data domain across the organization.
- Focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from 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 your work.
- Exhibit and foster Esusu’s culture and operating principles.
Qualifications
- Master’s degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis, or 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.
- 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.
Requirements
- PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
- Experience in the FinTech or PropTech areas.
- Experience in a startup environment.
- Experience with microservices.
- Experience working with data governance policies in SOC2 or similarly certified organizations.
Key Technologies We Use
- Backend: Go, Python.
- Cloud: Amazon Web Services (AWS).
- Data: MongoDB, PostgreSQL, S3, Sagemaker, Snowflake, Tableau.
- Front End: React, Typescript.
- Mobile: Flutter, Dart.
Benefits
- Competitive Salary – for Series B startup – $200,000 - $235,000 annually
- Competitive Restricted Stock Units (RSU)
- Full Medical, Dental, and Vision Insurance
- 401K Plan
- Fitness/Gym Stipend
- Paid Parental Leave
- Remote Work Environment – a 100% virtual
- Flexible PTO Policy
- Mission Driven Company – a strong and driven culture
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
$200,000 - $235,000 annually
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 03, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
