Machine Learning Operations Engineer
4 weeks ago
Epergne Solutions is seeking a highly skilled Senior ML Ops Engineer to join our team.
The ideal candidate will have a strong background in machine learning operations and be able to design and implement data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale.
- Design and implement data pipelines and engineering infrastructure to support enterprise machine learning systems at scale
- Develop and deploy scalable tools and services for machine learning training and inference
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
Requirements
- University Degree in Computer Science, Information Technology, or related field
- 6+ years of experience in the Machine Learning Operations role
- Strong knowledge of Python, CI/CD pipeline, Docker, and Kubernetes
- Experience in using popular ML Ops frameworks like Kubeflow, ML Flow, and Data Robot
- Ability to build ML Ops pipelines and communicate with clients to build requirements and track progress
Preferred Qualifications
- Certifications in some of the core technologies
- Ability to collaborate across different teams/geographies/stakeholders/levels of seniority
- Customer focus with an eye on continuous improvement;
- Energetic, enthusiastic and results-oriented personality
Working Environment
Epergne Solutions is a multinational company with teams around the globe. As a Senior ML Ops Engineer, you will work independently, prioritize and organize your tasks under time and workload pressure. You will also collaborate with teams across different regions and stakeholders.
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