The business problem is to contribute to a cutting-edge platform that supports the full machine learning lifecycle, from model development and training to deployment and management, for a partner company in the United States.
Requirements
- Proven experience building scalable, high-performance back-end systems in distributed computing environments.
- Strong proficiency in back-end development languages such as Python, Java, Scala, or Go.
- Experience designing and developing RESTful APIs, gRPC, or other service integrations.
- Familiarity with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes).
- Knowledge of ML model deployment, versioning, and lifecycle management tools (e.g., MLflow, KubeFlow) is a plus.
- Hands-on experience with performance profiling, optimization, and testing frameworks (unit, integration, end-to-end).
- Experience with distributed computing frameworks like Apache Spark, Azure ML, or SageMaker is a plus.
Responsibilities
- Develop, maintain, and optimize high-performance back-end systems to support the model development lifecycle and large-scale AI workloads.
- Design, implement, and maintain secure and scalable APIs for model deployment and integration with enterprise applications.
- Integrate model monitoring and logging to provide comprehensive visibility into deployment health and performance.
- Enhance tagging, versioning, and discoverability of models to improve collaboration and operational efficiency.
- Collaborate with cross-functional teams to incorporate feature requests and improve Domino Apps offerings.
- Work with cloud platforms and distributed computing frameworks to ensure scalable, reliable, and efficient system performance.
- Implement robust testing frameworks and maintain CI/CD pipelines to ensure high-quality releases.
Other
- Ability to collaborate effectively across engineering, product, and data science teams.
- Strong problem-solving skills, growth mindset, and ability to work in a dynamic, startup-like environment.
- Comprehensive health benefits including medical, dental, and vision coverage.
- 401(k) retirement savings plan.
- Wellness stipends and flexible remote work opportunities.
