Description

You build and deploy AI/ML models to solve complex data science problems while managing near real-time big data ingestion and processing.

This role is on-site.

Responsibilities

• Build and deploy supervised machine learning models, including decision trees and logistic regression.
• Manage near real-time big data ingestion, processing, parsing, and normalization.
• Integrate data workflows with mobile devices using APIs, operating systems, and embedded software.
• Develop and maintain web applications using web servers, HTML, and Java.

Required Skills

• 3+ years of experience in data science or software development.
• Proficiency in Python.
• Knowledge of C and/or GoLang.
• Experience with supervised machine learning techniques.
• Hands-on experience with open source and 3rd party data science tools.
• Experience with APIs and mobile device integration.
• Experience with web applications, HTML, and Java.

Preferred Skills

• Experience with Kafka or publish/subscribe data exchange models.
• Understanding of TCP/IP, networking, and data packets.
• Knowledge of video, audio, streaming technologies, 3GPP, LTE, and 5G.

Key Skills

Education

BS or MS in Data Analytics/ Computer Science