Mid-Level AI Machine Learning Engineer - Remote - Latin America

Mid-Level AI Machine Learning Engineer - Remote - Latin America

FullStack Labs

Published 07 Mar 2024

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Remote

Full Time

Role Highlights

• Python
• Data Analysis
• Full Stack
• Software Design
• AI
• Statistics
• Agile
• Scrum
• Startup
• Google Analytics

Tools, Libraries and Frameworks

Description

The role at FullStack Labs involves hiring a Mid-Level AI Machine Learning Engineer responsible for designing, developing, and testing machine learning algorithms and models. The engineer will analyze and interpret large datasets to identify patterns and trends, and implement and optimize models in production environments. Candidates should have strong programming skills in Python, R, or Java, and experience with frameworks like TensorFlow or PyTorch.

This position offers the opportunity to work with clients either through Team Augmentation—integrating directly into the client’s team—or via a Design & Build model, contributing to a FullStack product team. The engineer will develop and maintain documentation on machine learning models and processes, troubleshoot issues during development and deployment, and must possess an advanced level of English proficiency.

Disclaimer : Job and company description information, along with some data fields, may have been generated via GPT-4 summarization and could contain inaccuracies. Always refer to the full external job listing link for authoritative information.

FullStack Labs is the fastest-growing software consultancy in the Americas, focusing on helping organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams and deliver digital solutions. As an employee-first company, FullStack Labs prioritizes hiring talented software designers and developers in the western hemisphere, fostering a positive and supportive work environment. The company offers career-changing opportunities, has built highly-skilled teams for hundreds of top companies, and has delivered numerous successful software solutions impacting millions of users. With a 4.5-star rating on GlassDoor and a Net Promoter Score of 68, FullStack Labs demonstrates a strong commitment to excellence and customer satisfaction.

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