Responsibilities:Apply and fine-tune NLP models to address key business challenges.Work with text data to perform sentiment analysis, named entity recognition, text classification, and other NLP tasks.Build and maintain scalable NLP systems for real-time analysis and insights.Perform data mining and analysis to uncover trends and correlations that can impact our business strategy.Collaborate with stakeholders to define problem statements and develop language-based solutions.Coordinate with different functional teams to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Minimum Requirements:Proficiency in Python and basic SQL skills.Ability to translate ideas into prototypes and then into production, taking ownership of all steps in the product lifecycle.Extensive experience with specialized machine learning (ML) libraries for developing models with clean, scalable, and production-level code.Comprehensive knowledge of statistical methods and algorithmic techniques, with the ability to apply them to solve data problems.Basic knowledge about cloud platforms such as GCP or AWS.Agile mindset with motivation for continuous self and team development in a collaborative work environment.Basic level (at least) of German language (this is a MUST for the position).Good English level both spoken and written.Nice-to-have:Familiarity with LLMs, RAG, and image generation using both commercial and open-source models.Experience with deploying models on cloud platforms such as GCP or AWS.Experience with DevOps technologies such as Docker, Kubernetes, and CI/CD.Experience with cloud infrastructure-as-code (IaC) tools like Terraform or AWS CloudFormation.Specialized knowledge in a machine learning area such as Graph Theory, Model Optimization, Image Generation, Time Series Analysis, Natural Language Processing (NLP), or Clustering.
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