At Machine Learning Reply Austria  we strive to work on leading-edge technology projects with our clients for which we are seeking GenAI Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms 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 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 solutions.

We have a vast expertise in every step of the product 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 engineering know-how and work closely with our customers to help them assess and solve their most relevant pain points!

• Identify and analyse problem solutions and discuss them with the customer.

• Propose and discuss effective solutions and develop, optimise and deploy them into production

• Develop state-of-the-art algorithms, implement them and automate workflows in an agile environment

• Stay up to date on the cutting edge of technology and work together with market-leading technology companies

• Be the point of connection between the technical team and management realising business need

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, JavaScript, TypeScript, Rust

• An extensive experience of working with Machine Learning and Deep Learning Frameworks: TensorFlow, PyTorch, Keras, Hugging Face Transformers

• Hands on experience with Generative AI Models and Libraries: OpenAI’s GPT models, DALL-E, Stable Diffusion, MidJourney, VAE, GANs

• 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 major cloud providers, such as AWS or Azure

• Experience with agile development concepts like Scrum

• Excellent German skills, good English skills, and willingness to travel if required by the project

What are you waiting for?

Join our team at Machine Learning Reply as a GenAI Engineer!