BJ's Wholesale Club is seeking a Lead MLOps Engineer to bridge the gap between model development and production deployment, ensuring scalable, robust, and efficient ML solutions.
Requirements
- Strong knowledge of ML algorithms (e.g., XGBoost, Prophet, matrix factorization, multi-armed bandit)
- Experience with model lifecycle management, including tracking, packaging, versioning, and deployment using tools such as MLflow
- Strong programming skills with Python and PySpark (preferred)
- Experience with CI/CD pipelines, automation tools, and practices
- Proficiency in monitoring tools and performance optimization techniques
- Experience with engineering and development collaboration tool such as GIT/Jira/Confluence
- Familiarity with cloud platforms (like AWS) and Databricks (preferred)
Responsibilities
- Build, deploy, and manage machine learning models using applied statistics (supervised/unsupervised learning, feature selection, etc.)
- Develop and implement scalable ML deployment strategies, ensuring models are production-ready
- Monitor, retrain, and fine-tune models in production to maintain optimal accuracy and performance
- Design and maintain robust ML infrastructure, including data pipelines and model serving infrastructure
- Implement and manage MLOps tools to support the end-to-end workflow
- Establish monitoring systems and alerts to track model performance and health
- Proactively address production issues related to model accuracy, drift, and latency
Other
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field
- Minimum of 4-6 years of experience in machine learning or ML Ops
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Ability to work collaboratively in a cross-functional team environment
- Ability to adapt to new technologies and rapidly changing environments
