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
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!
Job details are sourced from the employer's original posting.
Open job postingAbout the company
A company focused on machine learning applications, particularly in AI products and LLM/RAG technologies.