Data Scientist / Engineer

We are looking for a highly motivated Data Scientist with a focus on Natural Language Processing (NLP) to join our team at Predict42, a leading AI company in the realm of feedback analytics. As a Data Scientist, you'll play a pivotal role in developing innovative AI solutions, both within our enterprise SAAS platform, MIGO, and as standalone applications. Your expertise in data science, NLP, and generative AI will be instrumental in creating groundbreaking solutions that leverage the power of AI on Google Cloud Platform (GCP).

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.

Compensation and Benefits :

• EARN : Salary + Equity - We foster an entrepreneurial culture by offering a virtual stock option program.
• GROW : Research Time - All employees have blocked research time per week at their disposal.
• COMPASSION : Care - We care and support you if you go through a difficult time at some point in your life.
• BOND : Team Building - We organize different team events, including a super exciting offsite each year.