Team Lead AI Machine Learning Engineer - Waltham, MA
Dentsply Sirona - waltham, MA
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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. Dentsply Sirona's global headquarters is located in Charlotte, North Carolina. The company's shares are listed in the United States on NASDAQ under the symbol XRAY. 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. Working at Dentsply Sirona you are able to: Develop faster - with our commitment to the best professional development. Perform better - as part of a high-performance, empowering culture. Shape an industry - with a market leader that continues to drive innovation. Make a difference -by helping improve oral health worldwide. 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 Engineering System design surrounding AI/ML services 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 in developing end-to-end data products handling heterogeneous data sets 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. #LI-AG2 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. For California Residents: We may collect the following categories of personal information in connection with the submission of your resume or application materials to us for employment, and if hired, your employment with us: identifiers (e.g., name, address, email address, birthdate); personal records (e.g., telephone number, signature, education information, criminal background information, passport number and visa information); consumer characteristics (e.g., sex, marital status, veteran status, race, disability, sexual orientation); professional or employment information (e.g., resume, cover letter, employment history, background check forms, references, certifications, transcripts and languages spoken); and inferences from personal information collected (e.g., a profile reflecting abilities and aptitudes). The above categories of personal information are collected for the following business purposes: performing recruitment and hiring services; processing interactions and transactions (e.g., to comply with federal and state laws requiring us to maintain certain records, managing the workforce); and security (e.g., detecting security incidents, protecting against fraudulent or illegal activity). For additional details and questions, contact us at
Created: 2024-11-05