Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and implementing Deep Learning Pipelines using cutting-edge models with an accent on Azure infrastructure, automated deployment, and AI inference backend. Focus on prototyping pipelines, refining them with team and clients, and sustaining scalable serverless architectures.

Location: Remote option with flexible working hours

Company

Innovative company bringing the metaverse to streets with location-based augmented reality tours, collaborating with German institutions to enable creation, distribution, and monetization of immersive experiences.

What you will do

• Develop and implement Deep Learning Pipelines using cutting-edge models
• Sustain infrastructure for Deep Learning inference on Azure
• Build CI/CD pipelines for automated deployment using Pytest, Github Actions, Docker, and Terraform
• Prototype pipelines and refine them with the team and clients until perfected
• Manage AI inference backend for secure frontend requests
• Design database schema and serverless architectures

Requirements

• At least 3 years of experience with Deep Learning Pipelines
• Knowledge and experience with Azure/AWS/GCP, preferably Azure
• Approachable and friendly disposition
• Ability to see through problems to their resolution

Culture & Benefits

• Fast-paced environment with quick code deployment and high ownership over product code
• Close collaboration with team, creative, and product teams
• Flexible working hours and remote work option
• Attractive salary and benefits package
• Avenues for career advancement
• Dynamic, employee-centric structure