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 we're 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