ML Engineer / ML Ops Engineer

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