(SENIOR) DATA SCIENTIST - NLP EXPERT

the tean is a technology company from Vienna, which is focused on the development of AI-based digital platforms. We have been recognized as a Top Company by kununu for the fourth consecutive year, placing us among the top five percent of the best employers.

To strengthen our team, we are looking for a (Senior) Data Scientist (full-time) with a focus on LLM (Large Language Models)

and Amazon SageMaker. The place of work is Vienna. There is also the possibility for remote work.

TASKS

Machine Learning & AI Fundamentals

  • Machine Learning Algorithms: Experience with supervised and unsupervised learning algorithms, including linear regression, decision trees, clustering, and dimensionality reduction
  • Deep Learning: Proficiency in neural networks, RNNs, CNNs, transformers, and other architectures common in LLMs

Natural Language Processing (NLP) and Large Language Models (LLMs)

  • NLP Techniques: Understanding of tokenization, stemming, lemmatization, stop-word removal, and vectorization
  • LLM Training and Fine-Tuning: Knowledge of transformer architectures (e.g., GPT, BERT) and experience in training/fine-tuning large models on custom datasets
  • Prompt Engineering: Ability to design and experiment with effective prompts for task-specific language model responses
  • Evaluation and Interpretation: Familiarity with BLEU, ROUGE, and other LLM evaluation metrics

Programming Skills

  • Python: Proficiency in Python, especially libraries like Pandas, NumPy, and Scikit-learn for data manipulation and model building
  • Deep Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, and Hugging Face Transformers for building and fine-tuning language models
  • SQL: Competence in SQL for data retrieval and manipulation
  • Bash and Scripting: Useful for automation and handling cloud-related tasks

Data Engineering and Preprocessing

  • ETL (Extract-Transform-Load) Skills: Experience with ETL processes to gather, clean, and preprocess data before model training
  • Feature Engineering: Ability to extract and design features tailored to NLP tasks

MLOps and Model Lifecycle Management

  • CI/CD for ML Models: Experience in setting up continuous integration/continuous deployment pipelines for machine learning workflows
  • Having knowledge of Git and version-controlling

Amazon SageMaker Expertise (nice to have)

  • Model Deployment: Knowledge of deploying machine learning models on SageMaker, including containerization)
  • Model Monitoring: Understanding of SageMaker model monitoring for data drift, accuracy, and bias
  • Integration with AWS Services: Experience with related AWS services (S3, Lambda, CodeCommit)

PROFILE

  • Completed adequate university studies (for example informatics, data science, etc.)
  • Experience in the areas listed above
  • Structured work style with enjoyment in solving complex tasks
  • Strong interpersonal skills and intercultural understanding
  • Interest in working in interdisciplinary development teams
  • Excellent knowledge of German and English

BENEFITS

  • Flexible work locations (remote work)
  • Flexible working hours
  • Good work-life balance
  • Friendly, ambitious team
  • Regular team events (recently in Barcelona and Athens)
  • Flat hierarchies and diverse development opportunities
  • Room for self-development and own ideas
  • Support for further training
  • International network of experts
  • Innovative projects related to AI and digital business
  • Exciting and challenging tasks
  • Great headquarters on Vienna's Stephansplatz
  • Modern work equipment
  • Commitment to animal welfare

The collective agreement for information and consulting applies to the advertised position. The minimum monthly salary is 3100 euros (full-time) gross. Depending on qualifications and professional experience, an overpayment is foreseen.

Are you interested? If so, please contact us with any questions and/or your application (cover letter, CV with photo, relevant certificates, etc.) exclusively in writing by e-mail to jobs@the-tean.com.

When applying, please indicate the platform through which you came across our job advertisement.

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