Dandy is seeking a Senior Machine Learning Operations Engineer - Computer Vision to develop the ML platform that creates state-of-the-art machine learning models for the dental industry. You will be responsible for designing MLOps pipelines, managing cloud infrastructure, and implementing automation strategies within a remote-first, fast-paced environment.
What You'll Do
- Design and implement MLOps pipelines for 2D & 3D dataset curation, model training, evaluation, optimization, and deployment.
- Manage and optimize cloud-based infrastructure for ML workloads, including scaling, resource allocation, and cost management.
- Engineer information feedback loops to continuously improve machine learning models.
- Develop and implement automation strategies for model training, evaluation, optimization, and deployment to improve efficiencies.
- Develop and manage monitoring solutions using GCP tools to track model performance, system health, and operational metrics.
- Ensure ML operations comply with data security and privacy regulations.
- Collaborate with other stakeholders within Engineering and Data to maintain a high bar for quality.
What We're Looking For
- 5+ years of software development experience.
- 3+ years of hands-on MLOps engineering experience.
- Hands-on experience working with ML models for performance optimization, training, hyperparameter tuning, monitoring, evaluation, and benchmarking.
- Hands-on experience with one of the major cloud platforms: AWS, GCP, or Azure.
- Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience building and maintaining CI/CD pipelines with best practices.
- Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes and Kubeflow.
- Comfort working in a highly agile, intensely iterative software development process.
- Self-motivated, self-managing, takes ownership, and possesses excellent organizational skills.
- Ability to thrive in a remote-first organization.
Nice to Have
- 1+ years of direct experience with machine learning model training and evaluation.
- Experience with specific Google Cloud services like Vertex AI, BigQuery, Dataflow, Compute Engine, or Kubernetes Engine.
Technical Stack
- ML Frameworks: TensorFlow, PyTorch, scikit-learn
- Cloud Platforms: AWS, GCP, Azure
- Google Cloud Services: Vertex AI, BigQuery, Dataflow, Compute Engine, Kubernetes Engine
- Container & Orchestration: Docker, Kubernetes, Kubeflow
Team & Environment
You will be a member of the rapidly growing Machine Learning team at Dandy.
Benefits & Compensation
- Healthcare coverage
- Dental coverage
- Mental health support
- Parental planning resources
- Retirement savings options
- Generous paid time off
Work Mode
This is a remote-first position.
Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
