Sr. Machine Learning Operations Specialist

DUTIES: Responsible for managing and scaling our machine learning models, ensuring they are production-ready and continuously optimized. Design and maintain robust ML infrastructure, implement CI/CD pipelines for model deployment, and monitor model performance to provide actionable insights.

• Develop and implement scalable ML deployment strategies, ensuring models are production-ready.

• Automate the deployment process of machine learning models using CI/CD pipelines.

• Monitor the performance of models in production and optimize them for performance and accuracy.

• Manage the lifecycle of machine learning models, including versioning, testing, and rollback strategies.

• Design and maintain robust ML infrastructure, including data pipelines, model serving infrastructure, and monitoring tools.

• Implement and manage ML platforms and tools to support the end-to-end ML workflow.

• Ensure the infrastructure can handle large-scale data processing and model training workloads.

• Work closely with 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.

• Provide technical guidance and support to team members on ML Ops best practices.

• Implement monitoring and alerting systems to track the performance and health of ML models.

• Continuously optimize models and infrastructure for performance, cost, and scalability.

• Analyze and resolve production issues related to ML models and pipelines.

• Ensure compliance with data privacy and security regulations in all ML operations.

• Implement security best practices in ML model deployment and data handling.

• Maintain documentation and SOPs for ML Ops processes and procedures.

REQUIREMENTS: Master's degree in Data Science, Mathematics, or a related field or foreign equivalent, plus 3 years of experience working as a Data Scientist or related; experience must include 3 years with: Machine learning, Python, TensorFlow, PyTorch, Scikit-learn, AWS tools like Redshift and platforms like Databricks, Data Processing, Model monitoring, Experience may be gained concurrently.

We're a team built on purpose and opportunity. Join us and be part of something meaningful.

Why You'll Love Working at BJ's

At BJ's Wholesale Club, our team members are at the heart of everything we do. That's why we offer a comprehensive benefits package designed to support your health, well-being and future - both on and off the job. When you grow, we grow.

Here's just some of what you can look forward to:

• Weekly Pay: Get paid every week so that you can manage your money on your terms.

• Free BJ's Memberships: Enjoy a complimentary The Club Card Membership, plus a free Supplemental Membership for someone in your household.*

• Generous Paid Time Off: Take the time you need with vacation, personal, sick days, holidays, bereavement, and jury duty leave.*

• Flexible and Affordable Health Benefits: Choose from three medical plans, and access optional dental, vision, Health Savings Account (HSA), and flexible spending account options to fit your lifestyle.*

• 401(k) Retirement Savings Plan: Build your financial future with a company match (available to team members 18 and older).*

• Employee Stock Purchase Plan: Accumulate funds through after-tax payroll deductions that can be used to purchase shares of BJ's common stock at a 15% discount.*

BJ's Wholesale Club is powered by more than 30,000 team members who make a real impact every day. Whether you're stocking shelves, solving problems or shaping strategy, your work helps families save on what matters most., This is a hybrid role. Tuesday through Thursday are in-office days at BJ's Club Support Center in Marlborough, MA and Monday and Friday are remote days. We recognize the growing role of AI tools, including ChatGPT, and value familiarity with them. That said, we want to hear from your authentic self. Your application should reflect your own skills, experiences, and insights rather than AI-generated responses.