Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 45.738 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop machine learning models, leverage NLP for data analysis, integrate new data sources, and implement solutions in a cloud environment while continuously improving model performance.
Job Technologies
Your role in the team
- Decode the data - Leverage natural language processing (NLP) to extract meaning from diverse datasets.
- Think like a scientist - Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities.
- Build smarter AI - Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow.
- Bridge research & reality - Transform cutting-edge algorithms into production-ready solutions.
- Keep models sharp - Monitor, enhance, and continuously improve model performance and accuracy.
- Expand the data universe - Identify and integrate new data sources to enrich our intelligence.
- Collaborate & innovate - Work with cross-functional teams to tackle business challenges with data-driven solutions.
This text has been machine translated. Show original
Our expectations of you
Education
- Bachelor's degree (or higher) in Computer Science, Statistics, Mathematics or related fields.
- Nice to have: Master's degree in a related field.
Qualifications
- Knowledge of SQL and relational databases.
- Strong problem-solving skills, comfortable with ambiguity and open-ended questions.
- End-to-end ownership, from prototyping a model to deploying and monitoring it in production.
- Understanding of cloud-based services, especially Google Cloud Platform or AWS.
- Knowledge of NoSQL database systems.
- Knowledge of agile software development techniques.
Experience
- 3+ years of experience in developing, deploying and scaling machine learning models to production.
- Experience with NLP or other machine learning technologies, machine learning techniques and tools like Torch or Tensorflow.
- Good experience in working with Python and Scala.
- Experience with agent engineering and AI tools like Cursor, Claude etc.
This text has been machine translated. Show original
What we offer
- Minimum EUR 45,738 gross annually based on IT Collective Agreement.
- Flexible hours and hybrid working.
- Your birthday off.
- MyClubs partnership.
- Mental health support.
- Regular health check-ups and initiatives.
- Company-wide training.
- Fun team events.
- Device of choice.
- Work from anywhere - up to 8 weeks a year.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Prewave
Wien
At Prewave, we are building a global supply chain intelligence platform that uses AI to analyze social and news media in over 50 languages. Our technology can detect and predict risks to disruptions or sustainability, so that companies can make more transparent, resilient and sustainable supply chains for the future.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2017
- Language
- German, English
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Science, Research
Data Science Engineer
- Salary
- from 45.738 € Gross/YearNet salary converted from the gross salary in the job ad.from 33.057 € net/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
