
Data Driven AI Solutions Specialist
16 hours ago
ML Systems Developer
Key responsibilities include designing data pipelines, developing scalable tools and services for machine learning training and inference, identifying new technologies to improve performance and maintainability of machine learning systems, and supporting model development with emphasis on auditability, versioning and data security. Additional tasks involve facilitating the development and deployment of proof-of-concept machine learning systems, communicating with clients to build requirements and track progress, and working with structured, semi-structured and unstructured datasets.
Requirements:
- Bachelor's degree in Computer Science, Information Technology or related field
- 5+ years of experience in Machine Learning Operations role
- Advanced knowledge of machine learning techniques including decision trees, random forest, boosting algorithm, neural networks, deep learning, support vector machines, clustering, Bayesian networks and reinforcement learning
- Strong analytic skills and ability to work with large datasets
Preferred Qualifications:
- Master's degree in Computer Science or related field
- Experience with cloud-based platforms and containerization
- Knowledge of DevOps practices and CI/CD pipelines
- Ability to communicate complex technical ideas effectively to non-technical stakeholders
About the Role:
This is an exciting opportunity to join our team as a ML Systems Developer and contribute to the design, development and deployment of cutting-edge machine learning solutions.
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