CarParts.com · 4 months ago
Data Science & ML Ops Engineer
Torrance, CA
Full-time
Onsite
Entry, Mid Level
$120K/yr - $145K/yr
2+ years expCarParts.com is the go-to eCommerce platform for auto care and maintenance, seeking a Data Science & ML Ops Engineer to bridge the gap between data science and engineering. The role involves designing, deploying, and maintaining robust ML infrastructure and automation systems to support intelligent decision-making.
AutomotiveE-CommerceInternetLogisticsMarketing
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
Containerize services with Docker and manage deployments across cloud environments
Contribute to CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline ) for ML systems
Implement logging, error handling, monitoring, and alerting for ML services and APIs
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or related quantitative field with 2–3 years of professional experience
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)
Basic understanding of CI/CD practices and pipelines (Jenkins, GitHub Actions, AWS CodePipeline)
Strong problem-solving skills with ability to implement robust logging, monitoring, and error handling in production
Preferred
Master's degree in Computer Science, Data Science, or related technical field
Experience with MLOps frameworks and lifecycle management tools
Familiarity with orchestration tools like Kubernetes, Airflow, or Databricks
Prior experience in e-commerce, logistics, or digital marketplaces
Exposure to cloud platforms (AWS, GCP, Azure) for ML deployments
Company
CarParts.com
At CarParts.com, we are committed to simplifying vehicle maintenance and repair because we understand that time is precious, and it should be spent enjoying the journey.
1001-5000 employees
H1B Sponsorship
CarParts.com has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (5)
2023 (7)
2022 (4)
2021 (3)
Funding
Current Stage
Public CompanyTotal Funding
$157.7MKey Investors
St. Paul Venture Capital
2025-09-09Post Ipo Equity· $35.7M
2022-06-21Post Ipo Debt· $75M
2007-02-09IPO
Leadership Team
Kals Subramanian
Chief Technology Officer at CarParts.com
M
Michael Huffaker
Chief Operating Officer
Recent News
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2025-11-06
Company data provided by crunchbase