Machine Learning Engineer Opportunity
We are seeking an experienced Machine Learning Engineer to join our team. As a key member of our Data Analytics and Data Engineering teams, you will apply advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
This role requires collaboration with data engineers, analysts, backend engineers, marketing, and sales teams. You will focus on creating interpretable, accurate, and scalable predictive models using datasets generated from AWS and Snowflake environments.
You will translate model insights into actionable strategies that drive business decisions and financial inclusion. Additionally, you will coach and mentor fellow data analysts and engineers, ensuring efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work.
Core Competencies
* Superb programming, software, and data development skills – You can independently devise and implement solutions to problems with minimal explanation needed.
* Strong communication skills – You can efficiently translate between technical and non-technical audiences and have strong writing skills.
* High standards – Your work is of the highest quality, and you continue to raise the bar within your immediate team and our organization.
* Balance velocity with long-term goals – You balance thinking big with delivering the right thing in an agile and speedy manner.
* Heart of a teacher – You are a capable mentor and able to inspire and empower others on your team.
* Getting work done and driving excellence – You strive for excellence and prioritize delivering high-quality outcomes and projects.
* Adaptability – You thrive in an environment that changes quickly and is constantly presenting new challenges.
Required Skills and Qualifications
* Ai & ML Experience : Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Ai & ML Engineering : Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Ai Modeling : Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Programming Languages : Very strong knowledge of Python and SQL.
* Cloud Expertise : 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.
* Ai & ML Platforms : 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.
* DataOp & MLOps : Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
* Ml Languages : Experience building ML models with PyTorch, Scikit-learn, and GenAI models.
* Llm Models : Experience working with LLM frameworks such as HuggingFace libraries and with agent-based frameworks such as LangChain and Mirascope.
* Data Experience : Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
Benefits
* Competitive Salary– for a Series B startup.
* Remote first work environment- Where we trust you to get your work done.