Lead Machine Learning Engineer
Bethesda, MD, United States
Full Time Senior-level / Expert USD 146K - 197K
Total Wine & More
- Manage and deploy machine learning models developed by Data Science team into production – integrated with the team through the development process.
- Support the retraining, monitoring, and measurement of deployed machine learning models – covering a wide spectrum of ML approaches.
- Create common frameworks for delivering modeling results to systems within TWM.
- Build out tools to support data scientists – lowering the level of effort to create and prototype machine learning models, such as building a feature data store.
- In collaboration with the Data Platform team, make sure ML results are published within TWM data warehouse and easily digestible by end users.
- In collaboration with Engineering and Architecture teams, build and maintain MLOps tools and frameworks – utilizing DevOps tools currently in place at Total Wine & More.
- In partnership with Data Science team members, maintain documentation and manage the transition of production processes to production support team, when applicable.
- Bachelor's degree from four-year College or university in Computer Science, Mathematics, Statistics or related field. Master’s or PhD preferred.
- 4-6+ years of experience in data science, computer science or related fields or 5+ years with Master’s degree.
- 4-6+ years of experience in software engineering, data engineering, or related fields or 5+ years with Master’s degree.
- Strong understanding of MLOps principles and practices with experience of supporting a data science team through the ML lifecycle to include deployment and monitoring.
- Experience with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems.
- Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
- Fundamental understanding of machine learning modeling techniques and algorithms. Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch.
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code.
- The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.
- Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus.
- The ability to present technical concepts and results in an audience-appropriate way
- Retail or similar experience a plus.
- Understanding of A/B testing
- Paid Time Off (PTO)
- Generous store discounts
- Health care plans (medical, prescription, dental, vision)
- 401(k), HSA, FSA, Pre-tax commuter benefits
- Disability & life insurance coverage
- Paid parental leave
- Pet insurance
- Critical illness and accident insurance
- Discounted home and auto insurance
- College tuition assistance
- Career development & product training
- Consumer classes
- & More!
Tags: A/B testing Airflow Architecture Computer Science CX Data warehouse DevOps Engineering Kubeflow Machine Learning Mathematics ML models MLOps NumPy Pandas PhD Pipelines Python PyTorch Scikit-learn Security Statistics Streaming Testing Weights & Biases XGBoost
Perks/benefits: Career development Health care Insurance Medical leave Parental leave
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