ML Engineer / ML Ops Engineer
ML Engineer / ML Ops Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Task Description: University Degree in Computer Science Information Technology or related field
5 years of experience in the Machine Learning Operations role
Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale
Take offline models data scientists build and turn them into a real machine learning production system
Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
Identify and evaluate new technologies to improve performance maintainability and reliability of our clients 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 clients to build requirements and track progress
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 Reductio
Employment Type
Full Time
