Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.175 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
AI Summary
In this role, you will develop machine learning models, leverage NLP for data analysis, and continuously improve algorithm performance to deliver data-driven solutions.
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.
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Our expectations of you
Education
- Bachelor's degree (or higher) in Computer Science, Statistics, Mathematics or related fields
- Master's degree in a related field
Qualifications
- Must-haves:
- Knowledge of SQL and relational databases
- Bonus points for:
- 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 a data science environment
- Experience with NLP or other machine learning technologies
- Good experience in working with Python and Scala
- Experience with machine learning techniques and tools like Torch or TensorFlow
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Benefits
Work-Life-Integration
Health, Fitness & Fun
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Job Locations
Topics that you deal with on the job
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