Our client is a blockchain company that simplifies data verification for traditional businesses. They build user-friendly products where blockchain is abstracted away from the user, aid in creating blockchain-based loyalty programs, and offer a comprehensive platform for project launch, including a wallet and marketplace. They specialize in secure and private on-chain data storage.

The role:

As a machine learning and back-end developer you will be evaluating, deploying and fine-tuning machine learning models (mostly LLM) as well as contributing to their backend APIs and database models.

• Develop and discuss technical concepts and architecture for new of features
• Evaluate, deploy and monitor machine learning models (mostly LLM)
• Fine-tune open-source models for client specific use-cases
• Develop and adapt backend APIs
• Develop and adapt the database models

What were looking for:

• At least 5 years of professional development experience
• A track record of successfully shipping products to production
• Experience in evaluating the performance of LLMs, fine-tuning and deploying machine learning models in production.
• Proficiency in TypeScript and Node.js
• Proficiency in relational databases, specifically PostgreSQL
• Preferably experience with Prisma.js and PostgreSQL
• Preferably knowledge of smart contracts and/or blockchain APIs, such as Alchemy
• Ability to strike a good balance between speed of development and maintaining an easily maintainable and extensible code base