- Looking for 10+Years of ML Ops Architect
- The primary responsibility of this role is to create enablers in order to streamline AI/ML operations right from Data supply strategy to Data discovery to Model training and development to deployment of AI services.
- ML Ops Architect will help to accelerate the creation of tools, services and workflows to aid in the quick and widespread deployment of AI Services on a global scale.
- Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks for cloud and edge, and serving infrastructure.
- Use configuration and API management to abstract and automate most manual tasks both pre-modeling and post-deployment.
- Work with data scientists, DevOps, data engineers/SMEs from domain to understand how data availability and quality affects model performance.
- Evaluate open source and proprietary technologies and present recommendations to automate machine learning workflows, model training and versioned experimentation, digital feedback and monitoring.
- Hands on experience & expertise to define the ML Ops strategy as well as helping team implement the same.
- Senior AI/ML technologist with extensive experience in designing & building AIML Strategy & solutions , Model development & execution lifecycle, MLOps.
Regards,
Mike Smith
Technical Recruiter
Anveta, Inc.
1333 Corporate Drive, Suite #108
Irving, TX 75038
972-441-5664
E-Mail: Mike@anveta.com
Website: http://www.anveta.com