
Senior Data Science Infrastructure Specialist
2 weeks ago
About MLOps Engineer Position
We are seeking a seasoned professional to fill the role of MLOps Engineer. The ideal candidate will have a strong background in machine learning operations and experience in designing data pipelines and engineering infrastructure.
Key Responsibilities:
- Design and develop 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 and automation
- Support model development with an emphasis on auditability, versioning, and data security
- Facilitate the development and deployment of proof-of-concept machine learning systems
- Communicate with clients to build requirements and track progress
- Analyze structured, semi-structured, and unstructured datasets using advanced machine learning techniques
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in Machine Learning Operations role
- Strong understanding of machine learning concepts, algorithms, and techniques
- Experience with data pipelines, engineering infrastructure, and cloud-based platforms
- Excellent communication and collaboration skills
Pursuing Success in Machine Learning Engineering
A dynamic work environment, opportunities for growth and development, and a competitive salary package make this position attractive.
Work Location: Remote options available
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