
Machine Learning Systems Engineer
1 day ago
As a Machine Learning Systems Engineer, you will play a pivotal role in designing and implementing scalable machine learning systems to meet the evolving needs of our clients. We are seeking an experienced professional with expertise in Machine Learning Operations to lead our team.
Key Responsibilities:- Develop and implement data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Design 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.
- 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 stakeholders to build requirements and track progress.
Requirements:
- University Degree in Computer Science or related field.
- 5+ years of experience in the Machine Learning Operations role.
- Strong analytic skills related to working with structured, semi-structured, and unstructured datasets.
- Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction.
Benefits:
We offer a dynamic work environment with opportunities for growth and development. Our team is passionate about delivering high-quality solutions that meet our clients' needs. If you are a motivated and experienced professional looking for a new challenge, we encourage you to apply.
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