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About the Role
Machine Learning Reply is seeking talented and highly skilled consultants with a technical background to support customer projects in machine learning and data processing across various industries. As a consultant, you will provide expert advice and technical support to clients, bringing your ideas to life.
Responsibilities
- Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.
- Implement and take ownership for solutions on cloud-based (AWS, Azure or GCP) and/or on-premises infrastructures.
- Automate recurring tasks using state-of-the-art DevOps and MLOps concepts to reduce customer time-to-delivery.
- Manage monitoring, failover, and recovery infrastructures for secure operation of machine learning solutions in agreement with regulatory requirements.
- Collaborate closely with customers and stakeholders to translate business requirements into production-ready solutions.
- Work with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications.
Requirements
- Bachelor’s / master’s degree in computer science or any other related fields (e.g. engineering, statistics, physics).
- First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks.
- Ability to convincingly communicate and present analytical results to management.
- Interest and/or experience in the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps.
- Fluent in English and German.
Skills
- DevOps
- MLOps
- Machine Learning
- Data Processing
- Cloud Infrastructure
- Data Engineering
- Data Analytics
- Data Visualization
- Python
- Java
- Scala
- SQL
- NoSQL
- Kubernetes
- Apache Spark
- Apache Kafka
- Apache Airflow
- Dagster
Location
- Munich
- Remote
Work Type
- Full-time
- Hybrid
Experience Level
- Entry Level
- Mid Level
Education Level
- Bachelor's degree
- Master's degree
Benefits
- Access to work on projects across industries
- Broaden skills through interdisciplinary work and training
- Benefit from industry-leading cooperations
- Active social program
- Training
- Conferences
- Team buildings
- Reply Exchange
- Communities of practices
- Hackathons
- Work in an open, flat environment
- Broad Reply knowledge-sharing network
- Award-winning office space
- State-of-the-art equipment
- Public transport ticket
- Gym-membership subsidy
- Flexible work environment
About the Company
- At Machine Learning Reply, we work with our customers on cutting-edge projects.
- We support our customer projects around machine learning and data processing across various industries.