CarParts.com is seeking a Data Science & ML Ops Engineer to bridge the gap between data science and engineering by designing, deploying, and maintaining robust ML infrastructure, automation systems, and APIs that support intelligent, data-driven decision-making.
Requirements
- Strong proficiency in Python for software engineering, with some knowledge of JavaScript
- Hands-on experience with ML libraries such as scikit-learn, XGBoost , LightGBM , or CatBoost , including inference pipelines.
- Proven experience building APIs and services using FastAPI , Flask, or AWS Lambda.
- Knowledge of RESTful services, JSON, and HTTP methods.
- Experience with model versioning and serialization frameworks (Pickle, ONNX, joblib ).
- Familiar with containerization tools such as Docker for deploying ML services.
- Version control expertise with Git, including collaborative workflows (pull requests, branching, code reviews)
Responsibilities
- Build, deploy, and maintain scalable ML pipelines and inference systems for production environments.
- Develop APIs and automation services using AWS Lambda, FastAPI , or Flask to deliver ML solutions at scale.
- Implement model versioning, serialization (Pickle, ONNX, joblib ), and deployment best practices.
- Collaborate with data scientists to operationalize ML models, ensuring reproducibility and reliability in production.
- Design and support data-driven automation systems and decision-support tools for business operations.
- Integrate message queueing systems (AWS SQS or similar) for robust communication across services.
- Write unit tests, integration tests, and ensure maintainable code using PyTest or similar frameworks.
Other
- Bachelor’s degree in Computer Science , Engineering, or related quantitative field with 2–3 years of professional experience.
- Strong problem-solving skills with ability to implement robust logging, monitoring, and error handling in production.
- Master’s degree in Computer Science , Data Science, or related technical field (Preferred).
- Prior experience in e-commerce, logistics, or digital marketplaces (Preferred).
- CarParts.com is an equal-opportunity employer.
