Team Lead AI Machine Learning Engineer - Waltham, MA

Company:  Wellspect HealthCare
Location: Waltham
Closing Date: 03/11/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Team Lead AI Machine Learning Engineer - Waltham, MA

Dentsply Sirona is the world’s largest manufacturer of professional dental products and technologies, with a 130-year history of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona’s products provide innovative, high-quality and effective solutions to advance patient care and deliver better and safer dentistry.

Bringing out the best in people

As advanced as dentistry is today, we are dedicated to making it even better. Our people have a passion for innovation and are committed to applying it to improve dental care. We live and breathe high performance, working as one global team, bringing out the best in each other for the benefit of dental patients, and the professionals who serve them. If you want to grow and develop as a part of a team that is shaping an industry, then we’re looking for the best to join us.

Dentsply Sirona, Waltham, MA, is looking for a senior back-end engineer with AI product development and people management experience. The candidate will join a MLE team that builds infrastructure around the AI models in our cloud-based solution, DS Core as a chapter (team) lead. This role combines technical know-how with development skills and leadership abilities, allowing the successful candidate to mentor, inspire, and empower team members to meet project objectives.

Primary Job Responsibilities:

  • Chapter (team) lead
    • People leader for chapter members, providing coaching, mentoring and support
    • Technical expertise, sharp knowledge of software development principles, strategies, ideas and technologies is crucial for this leadership role
    • Work closely with other stakeholders on setting clear goals for team member and ensure alignment with business and departmental goals
    • Motivating, providing guidance, feedback and performance reviews for chapter members, encourage performance improvement
    • Team and people development and conflict resolution
    • Organize cross-chapter activities
  • Implement microservices in Kubernetes (Docker and Terraform).
  • Design and develop testing and monitoring tools for AI/ ML models
  • Design and build data pipelines (from storage to monitoring telemetries)
  • Design, develop and support our CI/CD pipeline for AI/ ML models
  • Optimize AI models: reducing latency and inference cost.
  • Collaborate closely with our AI/ ML science teams, software architects, and software development teams to bring AI/ ML research to production.
  • Work closely with the QA team to provide SOUP validation, test documentation, IT security documentation, and regulatory compliance documentations.
  • Work closely with the AI/ML scientists and engineers to design and implement automatic tests.
  • Researching and adopting best MLOps (Machine Learning Operations) practices to design and develop end-to-end machine learning pipelines
  • Provide deployment tool for our AI/ ML scientists
  • Provide and maintain experimenting tools for our ML scientists
  • Perform high quality code reviews

Education: Masters or PhD degree in computer science, statistics, mathematics, or related field

Years and Type of Experience:

  • 5+ years of professional experience working in cloud infrastructure development
  • 3+ years of professional experience in building and optimizing data/ML model pipelines and projects in a business environment
  • 3+ years of professional experience working with common machine learning frameworks
  • 6+ years proven track record of leadership qualities.

Key Skills, Knowledge & Capabilities:

  • Experience in Golang and Google Cloud Platform (GCP)
  • Experience in writing and deploying microservices with Kubernetes, Docker and Terraform
  • Experience building end-to-end systems as a Software Engineer, DevOps, or Data Engineer (or equivalent)
  • Experience with modern back-end machine learning tech stacks
  • Experience in DevOps especially with Google Cloud project configuration as plus
  • Familiarity in cloud service architecture as a plus
  • Experience in one of the ML model development libraries is a plus: TensorFlow, PyTorch, scikit-learn, etc.

Dentsply Sirona is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, or protected Veteran status. We appreciate your interest in Dentsply Sirona.

If you need assistance with completing the online application due to a disability, please send an accommodation request to Please be sure to include “Accommodation Request” in the subject.

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