Lead Software Engineer

Topoteretes UG (haftungsbeschränkt); Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A US-based company with a German subsidiary seeks a Lead Software Engineer to automate data storage and enrichment for LLMs. The role involves overseeing the deployment of machine learning models, collaborating with teams, and maintaining documentation. Candidates should have a strong background in MLOps, proficiency in Python, and leadership skills.

Qualifikationen

• Expertise in deploying machine learning models in production is essential.
• Strong project track record as a Lead Software Engineer required.
• A link to your GitHub profile showcasing relevant projects is expected.

Aufgaben

• Deploy cognee in production with clients, overseeing the ML lifecycle.
• Collaborate with engineers and product managers to integrate solutions.
• Adopt MLOps best practices for efficient, scalable model deployment.

Kenntnisse

Leadership

Problem-solving

Communication

Expertise in MLOps

Proficiency in Python

Ausbildung

Bachelor's or Master's in Computer Science, Data Science, or a related field

Ph.D. preferred

Tools

Docker

Kubernetes

TensorFlow Extended (TFX)

MLflow

Jobbeschreibung

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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

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