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Lead Machine Learning Operations Specialist
2 months ago
Ziphire HR is seeking a highly skilled Machine Learning Operations Specialist to join our team. As a key member of our organization, you will be responsible for enabling engineering and transforming capabilities to support machine learning, building tools, and supporting business needs.
Key Responsibilities- Enabling Engineering/Transforming Capabilities: Develop and implement machine learning operations frameworks, automated pipelines, containerization, templatization, CI/CD, and other related tasks.
- Data Preparation and Quality: Ensure data quality and trustworthiness by promoting datasets into the feature store, simplifying re-use, and enabling data quality with automatic meaning detection algorithms.
- Feature Store and Data Visualization: Assist in promoting datasets into the feature store, showing data quality and trustworthiness, and enable users to access the feature store to reuse cleaned/reference datasets in their projects.
- Machine Learning-Based Visual Assessment: Automatically detect and handle unique and invalid values and outliers, and provide a wizard for anomaly detection.
- 5+ Years of Experience: In AL ML Tooling and ML Ops Practice Setup, with solid hands-on modeling tools like DataIKU, SAS Viya, or Azure ML OPS.
- Terraform Experience: With Python coding required.
- Education and Certifications: Possess at least a Graduate or Bachelor's degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent, and good to be certified in Model Ops, ML Ops, DataIKU, SAS, and other related fields.
- Technical Skills: Proficient in statistical modeling, machine learning, and AI, data visualization, data modeling, deep learning technologies, cloud deployment, and distributed computing environments.
