About 21.co Technologies
At 21.co Technologies our mission centers on building scalable bridges into the world of cryptocurrency. By creating DeFi accessibility through traditional financial standards, we bring ourselves one step closer to the equitable financial future we all believe in.
About the role
We are seeking a Data Scientist to design, implement, and optimize pipelines utilizing Large Language Models (LLMs) and generative AI technologies. The ideal candidate will have expertise in both generative and non-generative machine learning techniques, with a strong focus on natural language processing (NLP). This role involves end-to-end development, including data processing, LLM fine-tuning, implementing Retrieval-Augmented Generation (RAG) pipelines, and deploying AI agents.
Key Responsibilities
As a Data Scientist at 21.co Technologies, you will:
- Lead the development and deployment of pipelines leveraging LLMs and generative AI for advanced text-based applications, providing technical direction and mentoring team members.
- Design and implement RAG systems, integrating external knowledge sources with LLMs.
- Fine-tune and customize LLMs for specific use cases, ensuring optimal performance and adaptability.
- Process and prepare large-scale text datasets for training, testing, and evaluation of models.
- Build and monitor systems for evaluating and maintaining the quality, fairness, and safety of deployed LLMs.
- Develop and implement AI agents capable of autonomous task execution and decision-making.
- Apply non-generative machine learning techniques to complement and enhance generative AI systems.
- Collaborate with cross-functional teams to align AI solutions with business needs and objectives.
- Stay at the forefront of advancements in generative AI, NLP, and machine learning, integrating new techniques as appropriate.
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field.
- 5+ years of experience in Data Science and Natural Language Processing (NLP)
- Demonstrated expertise in LLMs and generative AI technologies (e.g., GPT, BERT, Transformer models), including fine-tuning and RAG pipelines.
- Solid understanding of non-generative machine learning techniques, including supervised, unsupervised, and reinforcement learning.
- Strong programming skills in Python, with experience in ML libraries such as PyTorch, TensorFlow, Jax or Hugging Face Transformers.
- Hands-on experience with AI model monitoring, evaluation, and lifecycle management.
- Familiarity with building and deploying AI agents in real-world applications.
- Knowledge of data engineering workflows and tools for large-scale data processing.
- Excellent problem-solving and communication skills, with the ability to explain technical concepts to non-technical audiences.
This role is based in Zürich and will be expected to work from our Zürich office in a hybrid model Monday - Wednesday.
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What We Do
21.co is the world’s leader in providing access to crypto through simple and easy to use products. 21.co is the parent company of 21Shares and Amun, and its mission is to build bridges into the crypto world.
21Shares is the world’s largest issuer of cryptocurrency exchange traded products (ETPs) and is powered by Onyx, a proprietary technology platform used to issue and operate cryptocurrency ETPs for 21Shares and third parties. 21Shares mission is to make crypto easy.
Amun is a blockchain infrastructure company focused on making purchasing crypto more accessible by offering a suite of tools for passive strategies across major DeFi platforms. Amun’s mission is to simplify your crypto journey.
The company was founded in 2018 by Hany Rashwan and Ophelia Snyder and is a global organization, with offices in Zurich and New York. Cathie Wood, Chief Executive Officer & Chief Investment Officer of ARK Invest is a board member.
Why Work With Us
As a major player in the crypto space, we collectively challenge the status quo every day. We embody our core values by bringing our most daring and humble selves to work every day. We believe in failure, as with failure comes important learnings. We push for individual ownership, as we believe when people own what they do, they are more invested.
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