Machine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
About the role
- Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Responsibilities
- Implement data science algorithms in bpx’s ML Studio (SageMaker)
- Create systems and processes to monitor performance of ML algorithms in production
- Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
- Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
- Partner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions
- Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department
- Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses
- Design systems to balance cost and performance to meet business outcomes
Requirements
- A Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field
- 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations
- Proven track record of implementing and scaling models in an operations or customers focused company
- Strong programming skills: Python and Cloud Implementation
- Scripting Experience with big data, real-time streaming data technologies, and cluster computing environments
- Knowledge and exposure to cloud technologies, especially AWS
- Must be legally authorized to work in the US without sponsorship.
Benefits
- health, vision and dental insurance
- flexible working schedule
- paid time off policy
- discretionary annual bonus program
- long-term incentive program
- generous 401K matching program
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