Overview
Job Description
At
Machine Learning Reply Austria we strive to work on leading-edge data science projects with our clients for which we are seeking Full Stack Engineer consultants with a strong technical background.
Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.
We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle – from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms.
We have a vast expertise in every step of the Data Science implementation spectrum in… all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies.
Tasks
Use your software engineering know-how and work closely with our customers to help them assess and solve their most relevant pain points!
• Develop E2E software solutions in a modern and agile environment
• Work in an innovative and international team in projects with high business impact
• Play an important role in the client’s decision making
• Ideate and design the architecture of applications and solutions to fit the client’s needs
• Enforce best practices for coding and developing
• Work with high-end open source and licensed technologies
What we offer you:
• We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.
• Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
• Very active group social program – including conference funding, team building, group events, Reply Exchange
• Recognition for Innovation to foster your personal development
• Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
• Office space in downtown Vienna with access to Stammstrecke
• Training and certification encouraged
• Home-office contracts
• State-of-the-art work equipment
• Award winning office spaces for an excellent work experience
• Public transport ticket within Vienna
• Gym-membership subsidy for a gym of your choice
• Flexible work environment between client, Reply office and remote work
Requirements
Qualifications:
• We are looking forward to your completed studies in computer science, mathematics, physics or comparable
• Fluent in at least one of the following programming languages: Python, Java, JavaScript, TypeScript, Rust
• Practical experience in Backend technologies such as NodeJS, Spring/SpringBoot, Flask/Django, REST APIs, etc.
• Frontend technologies such as Angular, React, NextJs, Tailwind, TRPC etc.
• Hands-on experience with development of productive E2E web services and usage of related frameworks (e.g. Swagger, OpenAPI, Postman) and virtualisation technologies including Docker, LXC, VMs
• An extensive experience of working with version control tools, such as Git and CI/CD Pipelines
• Experience with agile development concepts like Scrum
• Excellent English skills, good German skills, and willingness to travel if required by the project
What are you waiting for?
Join our team at Machine Learning Reply as a Data Strategy Consultant
Company:
Machine Learning Reply
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
