Massachusetts Jobs

Staples is business to business. You’re what binds us together.

Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

What you’ll be doing:

• ML (Machine Learning) Infrastructure Management:

• Lead the development and maintenance of our ML infrastructure using Databricks, ensuring scalability, reliability, and performance.

• Oversee the deployment and lifecycle management of machine learning models in production environments.

• Collaborate with data engineering and IT teams to integrate ML pipelines with existing data platforms and tools.

• Model Deployment and Monitoring:

• Design and implement robust CI/CD pipelines for machine learning models, ensuring efficient and automated deployment processes.

• Monitor model performance in production, identifying and addressing issues related to model drift, data quality, and system performance.

• Develop and enforce best practices for model versioning, testing, and validation to ensure consistency and reliability.

• Collaboration and Cross-Functional Leadership:

• Work closely with data scientists, data engineers, and business stakeholders to ensure that machine learning models meet business requirements and are aligned with strategic goals.

• Lead and mentor a team of ML Ops engineers

• Partner with security and compliance teams to ensure that ML operations adhere to industry standards and regulatory requirements.

• Performance Optimization and Scalability:

• Use Databricks to optimize the performance of machine learning models and workflows, ensuring efficient use of resources and minimizing latency.

• Implement monitoring tools and dashboards to track the health and performance of ML systems in real-time.

• Scale ML operations to handle increasing volumes of data and more complex models as the business grows.

• Innovation and Continuous Improvement:

• Stay up-to-date with the latest advancements in ML Ops, Databricks, and related technologies, bringing new ideas and methodologies to the team.

• Drive the adoption of new tools, frameworks, and best practices that enhance the efficiency and effectiveness of ML operations.

• Evaluate and improve existing processes and workflows, ensuring they are optimized for agility, scalability, and reliability.

What you bring to the table:

• Extensive experience with Databricks, including managing ML workflows, data processing, and integration with cloud platforms.

• Strong understanding of machine learning algorithms, model deployment, and monitoring best practices.

• Proficiency in programming languages commonly used in ML (e.g., Python, Scala) and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).

• Demonstrated ability to build and lead high-performing teams, with strong leadership and mentoring skills.

• Excellent problem-solving and analytical skills, with a focus on delivering results in complex, fast-paced environments.

• Strong communication and collaboration skills, with the ability to work effectively across multiple departments and with senior stakeholders.

What’s needed- Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field or equivalent work experience.

• 10+ years of experience in machine learning, data science, or data engineering, with at least 4 years in an ML Ops or similar leadership role.

What’s needed- Preferred Qualifications:

• Master’s degree preferred.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Knowledge of MLOps tools and platforms such as MLflow, Kubeflow, or similar.

• Experience with data governance, security, and compliance in machine learning environments.

• Background in deploying machine learning models in a B2B environment is a plus.

We Offer:

• Inclusive culture with associate-led Business Resource Groups

• Flexible PTO (22 days) and Holiday Schedule

• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

Staples is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.