Senior Data Scientist
M
MakersiteAI/ML software
Location: EU (Remote); Work from anywhere in the EUFull-TimeSenior
Salary80,000 - 100,000 EUR per year
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Job Details
- Experience
- 5+ years of experience in Python, with ~10 years of overall software engineering or data experience
- Required Skills
- DockerPythonFastAPILangChain
Requirements
- Have 5+ years of experience in Python and approximately 10 years of overall software engineering or data experience.
- Have experience building and deploying production-grade APIs; FastAPI is preferred, and REST or GraphQL experience is a plus.
- Have hands-on experience with LLMs and LLMOps, including prompt engineering, fine-tuning, and evaluation.
- Have strong experience fine-tuning open-source models, such as through the Hugging Face ecosystem.
- Have practical experience designing and working with vector databases such as Pinecone, Weaviate, Chroma, or pgvector.
- Have experience building AI agents with LangGraph, LangChain, CrewAI, or similar frameworks.
- Understand model deployment and serving, such as vLLM, TGI, or managed endpoints.
- Have experience with CI/CD pipelines and deployment practices using Docker, Kubernetes, or GitHub Actions.
- Have strong experience working with and processing large-scale text datasets.
- Experience with MLflow or Weights & Biases, cloud AI ecosystems, or open-source AI/ML contributions is preferred.
Responsibilities
- Build, deploy, and maintain scalable APIs that serve AI/ML models in production.
- Own AI solutions end to end, from prototyping through production deployment.
- Design and implement Retrieval-Augmented Generation systems using vector databases.
- Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar.
- Evaluate and select LLMs and foundation models for specific use cases.
- Optimize model inference for latency, cost efficiency, and throughput.
- Implement monitoring, logging, and alerting for deployed models and services.
- Build and maintain CI/CD pipelines for testing, deployment, and iteration.
- Work with product and engineering teams to integrate AI capabilities into core products.
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