Senior Data Scientist at Makersitegmbh

At Makersite, we are leading the charge in sustainable product development and digital collaboration. As a premier platform for product lifecycle management, we provide companies with the tools to make smarter, more sustainable decisions across their entire supply chain. Our software helps teams design, prototype, and manufacture products with greater transparency and efficiency. We are a fast-growing, innovative organization that values creativity and continuous learning, and we are looking for a Senior Data Scientist to help us shape the future of industrial innovation.

Key outcomes

• Build, deploy, and maintain scalable APIs to serve AI and machine learning models in production.
• Manage the end-to-end delivery of AI solutions, moving projects from initial prototyping to fully productionized systems.
• Design and implement Retrieval-Augmented Generation systems using vector databases.
• Orchestrate AI agents using frameworks like LangGraph or CrewAI.
• Select and evaluate appropriate large language models based on specific project needs.
• Optimize model inference for latency, cost efficiency, and throughput.
• Establish robust monitoring, logging, and alerting systems to ensure high reliability.
• Develop CI/CD pipelines to streamline testing and deployment.
• Collaborate with product and engineering teams to integrate AI capabilities into our core offerings.

Requirements

• At least 5 years of experience with Python, with approximately 10 years of total software engineering or data experience.
• Proven track record of building and deploying production-grade APIs, preferably using FastAPI.
• Hands-on experience with LLMs and LLMOps, including fine-tuning and prompt engineering.
• Practical experience designing and working with vector databases such as Pinecone, Weaviate, or Chroma.
• Experience building AI agents with frameworks like LangChain or CrewAI.
• Solid understanding of model deployment and serving techniques.
• Proficiency with CI/CD pipelines and modern deployment tools like Docker and Kubernetes.
• Strong capability in processing large-scale text datasets.
• Fluency in English.
• Must reside in and have legal authorization to work within the EU.

Preferred qualifications

• Experience with MLOps platforms such as MLflow or Weights & Biases.
• Familiarity with cloud AI ecosystems like AWS Bedrock, GCP Vertex AI, or Azure OpenAI.
• A history of contributions to open-source AI or machine learning projects.
• Background in sustainability, climate, or product domains.
• Previous experience in B2B SaaS environments or startup/scale-up settings.

Compensation

We offer a competitive salary that reflects your skills and experience. Our benefits package includes:

• 30 days of paid time off.
• A generous learning and development budget to support your professional growth.
• A remote-first work environment with flexible location options.
• The ability to choose your preferred work equipment.

How to apply

If you are ready to make a meaningful impact and contribute to a more sustainable future, we invite you to apply. Please reach out to us with your application, and let us know if you require any specific adjustments to our interview process to ensure you can perform at your best.