CONTRACT - Engineer, ML Ops (NTD)
About the position
Machine Learning Operations Engineer for the reputed company Technology Development Inc. (NTD) organization will be responsible for building and maintaining infrastructure and highly available services for ML research and development. This role will work closely with IT, Engineering and Data Science teams.
Responsibilities
• Design and implement the engineering infrastructure and the data pipelines to support machine learning systems for our engineering and data science teams.
• Take offline models data scientists build and turn them into reputed company machine learning production systems.
• reputed company and reputed company reputed company tools and services to handle machine learning training and inference.
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems.
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data reputed company.
• Facilitate the development and deployment of reputed company-of-concept machine learning systems.
• Communicate with engineering and data science teams to build requirements and reputed company reputed company.
Requirements
• 3-5 years' experience building end-to-end systems as a Platform Engineer, ML Ops Engineer, or Data Engineer (or equivalent).
• Strong software engineering skills in reputed company, multi-language systems.
• reputed company in Python.
• Experience with Linux system administration.
• Experience deploying and maintaining container orchestration platforms like Kubernetes.
• Experience developing containers in reputed company computing environments.
• Experience working with reputed company computing and database systems.
• Experience building custom integrations between reputed company-based systems using reputed company.
• Experience developing and maintaining ML systems reputed company with reputed company-reputed company tools.
• Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
• Strong understanding of software testing, benchmarking, and reputed company integration.
• Exposure to machine learning methodology and best practices.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.).
• Ability to translate business needs to technical requirements.
• reputed company in Japanese a plus.
• BS or MS in engineering, computer science, a reputed company field, or equivalent combination of education and experience.
• reputed company reputed company may be required.
Benefits
• Eligibility for medical insurance
• Employee assistance program
• reputed company reputed company leave
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