cognee is an open-source software (OSS) framework that processes, stores and generates semantic layers above vector and graph stores (GraphRAGs).
We aim to automate data storage, enrichment and personalisation for LLM in-context learning. Our company is located in the US and has a German subsidiary, for which we are currently hiring for. We are looking for a Lead Software Engineer.
Key Responsibilities:
- Deploy cognee in production with our clients
- Oversee the machine learning lifecycle from data collection to deployment.
- Collaborate with engineers and product managers to integrate solutions.
- Adopt MLOps best practices for efficient and scalable model deployment.
- Stay updated with advancements in machine learning and data science.
- Develop and maintain documentation and engage with the open-source community.
Requirements:
- Bachelor's or Master's in Computer Science, Data Science, or a related field; Ph.D. preferred.
- Proven experience as a Lead Software Engineer with a strong project track record.
- Expertise in MLOps and tools like Docker, Kubernetes, TensorFlow Extended (TFX), and MLflow.
- Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience in deploying machine learning models in production.
- Strong problem-solving, communication, and leadership skills.
- A link to your GitHub profile showcasing relevant projects.
Note
We do not provide Visa sponsorship at this time
Benefits:
- 80k EUR + 0.36% equity
- Flexible hours
- Company sponsored meals
