Data Scientist / Engineer

Responsibilities:

• Develop NLP/LLM-based features for MIGO and build innovative standalone apps using Flutter, demonstrating the potential of AI solutions to address customer needs on GCP.
• Explore and develop applications utilizing generative AI techniques, such as text generation, image generation, and audio synthesis, leveraging LLMs (Large Language Models).
• Collaborate with product managers and engineers to ensure seamless integration of NLP and generative AI models (including LLMs) into our GCP-based products and services.
• Develop, deploy, and maintain NLP and other ML models on GCP for various tasks, including generative AI applications powered by LLMs.
• Work closely with product managers to understand business requirements and identify opportunities for AI applications.
• Apply your knowledge of NLP techniques, including LLMs, to solve real-world problems on GCP.
• Leverage GCP services effectively for efficient model development, deployment, and management.
• Utilize open-source NLP and generative AI libraries and tools (including LLM frameworks) on GCP to accelerate development.

Qualifications:

• First practical experience as a Data Scientist.
• Strong passion for learning and staying up-to-date with the latest advancements in data science, including generative AI and LLMs.
• Proficiency in programming languages like Python (including libraries like pandas, scikit-learn) and potentially R.
• Experience with NLP (Natural Language Processing) techniques is a plus.
• Familiarity with building web applications using frameworks like Streamlit (for POCs), R/Rshiny, or any Frontend language (a plus).
• Excellent communication and interpersonal skills.
• Fluent in German.

Preferred Qualifications:

• Experience with specific NLP and generative AI frameworks and libraries, such as Hugging Face Transformers, TensorFlow, or PyTorch.
• Knowledge of data engineering and ETL pipelines for processing large datasets.
• Experience with cloud-based machine learning platforms and tools, such as Vertex AI.
• Familiarity with MLOps practices for managing machine learning models in production environments.
• Strong problem-solving and analytical skills, with a focus on applying data science techniques to real-world problems.
• Ability to work independently and as part of a team.

Benefits:

• Learning Opportunities: Cutting-edge projects, mentorship, career advancement.
• Competitive Compensation: Competitive salary, benefits, virtual stock options.
• Agile Culture: Collaborative young team in a fun working environment
• ‍Impactful Work: Innovative solutions, purpose-driven company.