DevOps and Machine Learning Engineer Consultant - Remote

Overview

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

In Short

• Design innovative, technical approaches for data intensive applications with a focus on machine learning and artificial intelligence.
• Implement and take ownership for your solutions on cloud based (AWS, Azure or GCP) and/or on-premises infrastructures.
• Automate recurring tasks by state-of-the-art DevOps and MLOps concepts.
• Take care of the necessary monitoring, failover, and recovery infrastructures.
• Closely interact with customers and stakeholders to translate business requirements into production-ready solutions.
• Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers.

Requirements

• Technical background in DevOps or Machine Learning.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Strong coding skills and passion for data and AI.
• Ability to work collaboratively with diverse teams.
• Excellent problem-solving skills.

Benefits

• Access to work on projects across industries.
• Broaden your skills through interdisciplinary work and training.
• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field.
• Very active social program including training and conferences.
• Work in an open, flat environment with a knowledge-sharing network.
• Award-winning office space in downtown Munich.
• You choose your state-of-the-art equipment.
• Public transport ticket with Deutschlandticket.
• Gym-membership subsidy for a gym of your choice.
• Flexible work environment between client, Reply office, and remote work.