Machine Learning Engineer / Data Scientist Google Cloud (all genders)
adesso Austria GmbH
About the role
About adesso
adesso stands for IT excellence and thus for excellent development opportunities for all adessi. We grow together and learn from each other - on our projects, in the team, and with outstanding training offers. We have IT at heart, the industry in view, and our customers' success in mind. Because successful business arises from innovative ideas, future-proof strategies, and smart IT solutions. People who want to make a difference and simply do it are always involved. We design and build software that delights our customers. In projects that challenge us. And all this in an environment that we enjoy, where success is created together and everyone feels comfortable.
Your Role
- Machine Learning Applications: You develop modern, scalable Machine Learning solutions on Google Cloud.
- Deployment: You use Python to integrate Machine Learning models into production-ready data pipelines.
- Customer-Specific Solutions: You efficiently translate customer requirements into tailor-made Machine Learning solutions.
- Google Cloud: You work with Google Cloud products and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Software Architecture: You participate in the conception and consulting for component-based software architectures.
Your Profile
- Completed Education: You have completed a degree or apprenticeship in the IT field.
- Machine Learning Experience: You have experience in Machine Learning, Deep Learning, and Computational Linguistics.
- Programming Skills: You are proficient in Python, Java, Go, or Node.js, and other common technologies.
- Google APIs: Experience in Web Service standards and Google APIs (Google Cloud Platform, Google Maps Platform) is also an advantage.
- Linux Skills: You are confident in using the Linux console.
- Language Skills: Very good German and good English skills.
Your Benefits
- Stay Healthy and Fit: We promote the health of our adessi with sports subsidies such as discounted fitness memberships, covering court rental for badminton, padel tennis, or football, and regular preventive check-ups.
- Find Your Work-Life Balance: Our time-out program and flexible working models help you to optimally balance your professional and private life.
- Time for Family: Our goal is to unite the two worlds - family and work life. To achieve this, we support our adessi in the best possible way with numerous offers, such as holiday childcare, kindergarten partnerships, parent-child offices, or events where the whole family is welcome.
- Learn and Grow With Us: With over 400 training offers and our digital learning platform, we support your continuous development.
- Experience True Team Spirit: Joint events, welcome days, company runs, or the buddy system strengthen our cohesion and allow you to be part of the team from the very beginning.
- Engagement That is Rewarded: Your commitment pays off - with bonuses for recommendations, presentations, supervision of theses, and attractive discounts through our corporate benefits portal.
- Be Mobile and Flexible: JobRad offers, subsidies for the Deutschlandticket, and the option to work remotely from an EU country for up to two months offer you maximum flexibility.
- Secure Your Future: Our in-house, independent insurance advisor and broker, allato, always has individual solutions for your retirement provision or health insurance ready for you.
Requirements
- Completed studies or training in the IT sector.
- Experience in Machine Learning, Deep Learning, and Computational Linguistics.
- Proficiency in Python, Java, Go, or Node.js and other common technologies.
- Experience with WebService standards and Google APIs (Google Cloud Platform, Google Maps Platform) is advantageous.
- Proficient in using the Linux console.
- Very good German and good English language skills.
Responsibilities
- Develop modern, scalable Machine Learning solutions on Google Cloud.
- Integrate Machine Learning models into production-ready data pipelines using Python.
- Translate customer requirements into tailored Machine Learning solutions.
- Work with Google Cloud products and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Participate in the conception and consultation for component-based software architectures.
Benefits
Skills
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