Machine Learning Engineer

Kinetic Software · Austria

About the role

About the Role

We are looking for a talented Machine Learning Engineer.

Requirements

- Tableau - Azure - TensorFlow - PyTorch - GraphQL - Node.js - 5+ years experience - Remote-first mindset

Benefits

- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance

What You Will Do As a Machine Learning Engineer, you will architect and implement scalable machine learning solutions leveraging frameworks like TensorFlow and PyTorch. You will develop and deploy models within the Azure cloud environment, ensuring robust data pipelines and efficient inference. Your work will involve building APIs, potentially using GraphQL, to integrate ML models into applications and creating insightful visualizations and dashboards using Tableau to communicate model performance and key findings to stakeholders.

Why Join Us Join a dynamic and forward-thinking remote team where innovation thrives, and your contributions directly impact our cutting-edge projects. You'll have the opportunity to work with a diverse global team, continuously expanding your expertise across a wide range of ML technologies. We foster a collaborative environment that encourages learning, experimentation, and professional growth in the exciting field of artificial intelligence.

Who You Are You are a proactive and detail-oriented Machine Learning Engineer with a passion for solving complex problems through data-driven insights. Your strong understanding of ML principles is complemented by practical experience with tools like TensorFlow and PyTorch, and you excel at deploying solutions in cloud environments such as Azure. You possess excellent communication skills, are adept at visualizing data with Tableau, and have a solid understanding of backend development principles, potentially including Node.js and GraphQL, to effectively bridge the gap between ML models and user-facing applications.

Required skills

About Kinetic Software

Kinetic Software builds innovative construction tech solutions for global teams.

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