Machine Learning Engineer

BJ's Club Support Center Marlborough, MA #5997, United States

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Join our team of more than 34,000 team members, supporting our members and communities in our Club Support Center, 235+ clubs and eight distribution centers. BJ’s Wholesale Club offers a collaborative and inclusive environment where all team members can learn, grow and be their authentic selves. Together, we’re committed to providing outstanding service and convenience to our members, helping them save on the products and services they need for their families and homes.

The Benefits of working at BJ’s

•        BJ’s pays weekly

•        Eligible for free BJ's Inner Circle and Supplemental membership(s)*

•        Generous time off programs to support busy lifestyles* 

                      o Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty

•        Benefit plans for your changing needs*

                      o 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)

*eligibility requirements vary by position

**medical plans vary by location

TITLE:              Machine Learning Engineer

JOB LOCATION:           350 Campus Drive, Marlborough, MA 01752

DUTIES:  

Software Engineering (30%)

  • Architect, implement, and maintain software solutions for deploying ML models in production
  • Collaborate with software engineering teams to integrate machine learning components into extensive software applications
  • Adhere to best software engineering practices to produce clean, maintainable, and documented code
  • Optimize models for deployment considering speed, resource utilization, and efficiency
  • Lead key initiatives from begin to end by managing and improving the entire software development life cycle

Infrastructure and Deployment (20%)

  • Configure the necessary infrastructure for hosting ML models in an AWS environment
  • Implement containerization and orchestration solutions for deploying machine learning models
  • Collaborate with the IT DevOps team to integrate models into production environments and provide regular maintenance
  • Optimize deployment pipelines for automating the testing and deployment of ML models using CI/CD tool
  • Apply best practices for model versioning, monitoring, and maintenance

Collaboration (10%)

  • Serve as the primary technical liaison between business teams, translating business requirements into actionable work streams and technical solutions
  • Collaborate to understand business requirements and technical constraints
  • Interact with stakeholders to understand their needs and craft solutions

Machine Learning (25%)

  • Collaborate with data scientists to understand model requirements and iterate on model improvements
  • Design ETL Process for large and complex data set and engineer features
  • Design, develop, and implement machine learning models for predictive analytics and pattern recognition
  • Evaluate and select appropriate machine learning algorithms based on project goals and data characteristics

Statistical Analysis (15%)

  • Utilize experimental design techniques on marketing campaigns
  • Use data visualization tools to present findings
  • Perform inferential statistical analyses to derive insights. Design experiments to validate hypotheses gained from these insights. Collaborate with team members to measure these hypotheses.

REQUIREMENTS:

Master’s Degree in Data Analytics, Statistics, Business Intelligence, or related field or foreign equivalent, plus 2 years experience in machine learning engineering; 2 years experience building supervised and unsupervised machine learning models using AWS technology stack; 2 years experience implementing machine learning algorithms and applications, configuring infrastructure environments, using pipeline and automation tools to create CI/CD jobs, performing statistical analysis; using team collaboration software such as Git, Jira, Confluence; working with large datasets and executing complex data pipelines with AWS technology stack; experience may be gained concurrently.

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.

In accordance with the Pay Transparency requirements, the following represents a good faith estimate of the compensation range for this position. At BJ’s Wholesale Club, we carefully consider a wide range of non-discriminatory factors when determining salary. Actual salaries will vary depending on factors including but not limited to location, education, experience, and qualifications. The pay range for this position is starting from .
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Business Intelligence CI/CD Confluence Data Analytics Data pipelines Data visualization DevOps Engineering ETL Git Jira Machine Learning ML models Pipelines SDLC Statistics Testing

Perks/benefits: 401(k) matching Career development Flex hours Flexible spending account Flex vacation Health care Medical leave Transparency

Region: North America
Country: United States

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