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Skills
Algorithmsunmatched
Cloud Computingunmatched
DevOpsunmatched
Health Planunmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
Natural Language Processing (NLP)unmatched
Neural Networksunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
SQL (Structured Query Language)unmatched
Description
Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Pleasanton, CA/Remote location.
Requirements:
Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP).
Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch.
Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes.
This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
Founded in 2000
2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.