(Senior) GenAI Engineer (m/f/d)
About this job
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!