BJ's Wholesale Club-posted 4 months ago
Full-time • Mid Level
Hybrid • Marlborough, MA
General Merchandise Retailers

We are seeking a Lead MLOps Engineer with a strong foundation in data science principles with background in machine learning operations. This role is ideal for someone who can bridge the gap between model development using data science principles and production deployment, ensuring scalable, robust, and efficient ML solutions. You will work closely with other data scientists, engineers, IT, and business partners to build, deploy enterprise-grade models, manage the full ML lifecycle, and mentor junior team members on best practices.

  • Build, deploy, and manage machine learning models using applied statistics (supervised/unsupervised learning, feature selection, etc.)
  • Translate complex ML concepts and findings for non-technical audiences
  • 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
  • Ensure infrastructure supports high-volume data processing and model training
  • 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
  • Continuously optimize models and pipelines for cost, speed, and scalability
  • Work closely with Business, data scientists, engineers, and IT teams to ensure seamless integration of ML models into production systems
  • Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions
  • Mentor junior team members and promote best practices in model development and deployment
  • Bachelor's or Master's 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 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)
  • 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
  • Attention to detail and a commitment to delivering high-quality solutions
  • BJ's pays weekly
  • Eligible for free BJ's Inner Circle and Supplemental membership(s)
  • Generous time off programs to support busy lifestyles (Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty)
  • Benefit plans for your changing needs (Three medical plans, Health Savings Account (HSA), two dental plans, vision plan, flexible spending)
  • 401(k) plan with company match (must be at least 18 years old)
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