- Positive and solution-oriented mindset.
- Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama or similar models
- Experience in optimising cost and performance when developing features backed by an LLM. eg. Vector databases, RAG, etc
- Strong understanding of NLP techniques and text representation methods.
- Experience with machine learning frameworks and tooling such as PyTorch, TensorFlow, LangChain and openAPIs
- Experience with our backend technology stack. NodeJS, typescript and PostgreSQL
- Ability to translate complex models into scalable and robust product features.
- Rigorous experimentation and evaluation methodology
- Excellent problem-solving skills and creative thinking
- Collaborate with product teams to integrate LLMs into new and existing products.
- Design and develop scalable machine learning solutions to improve user experiences.
- Provide technical leadership and make architectural decisions for the machine learning components.
- Contribute to the development of our machine learning strategy.
- Stay current with the latest research and trends in LLMs and machine learning.
- React, Typescript on the frontend
- NodeJS, Typescript on the backend
- PostgreSQL for storage
- GraphQL
- Event driven microservice architecture
- Docker, Kubernetes, AWS
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Senior Machine Learning Engineer - Stockholm, Sverige - PocketLaw
Beskrivning
At Pocketlaw, we're quick on our feet, building products that delight our customers with a team that's got each other's backs. We value creativity, reliability, and a keen curiosity. If you enjoy collaborative work and have a knack for innovation, we'd love for you to be part of our journey. Join us and let's create something great together.
Preferred qualifications
You will
Our Tech-Stack