Job Description Position : Senior Machine Learning / Large Language Model Engineer Duration : 6 months (part-time) Hours : Ideally 15 hours per week / 60 hours per month Location : Candidates must be located within the European Union or have already relocated to E.U.
countries from Ukraine, CIS, Balkans, Asia, or Africa.
Due to data sensitivity, only E.U.-based candidates are eligible.
Flexible Working Hours : Clients may adapt working time according to experience and rate.
We are seeking a Senior Machine Learning Engineer specializing in Generative AI to work on a cutting-edge health chatbot project.
The ideal candidate will have extensive experience in Large Language Models (LLMs), Generative AI tools, and Retrieval-Augmented Generation (RAG) systems.
This part-time role offers the opportunity to contribute to impactful AI solutions, collaborating within a team while maintaining flexibility.
Key Responsibilities Design, develop, and deploy Generative AI solutions using state-of-the-art LLM technologies .
Build and optimize RAG pipelines for enhanced information retrieval.
Develop scalable APIs using FastAPI for AI service deployment.
Integrate knowledge bases and vector databases using frameworks like LangChain and LlamaIndex .
Implement and monitor performance metrics for AI models and systems.
Collaborate with cross-functional teams to integrate AI solutions.
Ensure all systems meet security and compliance requirements.
Qualifications Education : Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience : At least 5 years of professional experience in Machine Learning/AI development .
Technical Skills : Proficiency in Python programming .
Experience with GenAI tools/frameworks : LangChain, LlamaIndex, and RAG systems.
Familiarity with ChatGPT/OpenAI APIs and prompt engineering.
Expertise in building RESTful APIs using FastAPI .
Solid understanding of SQL databases and version control systems like Git.
MLOps : Model deployment and optimization.
Monitoring and scaling ML systems.
Preferred Skills Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with container technologies like Docker and Kubernetes.
Understanding of vector databases (e.g., Pinecone, Weaviate).
Knowledge of ML monitoring and observability tools.
Contribution to open-source projects .
Additional Information If you are looking for a fast-paced multinational company and have a desire to be part of the exciting state-of-the-art projects across Europe, send us your application in English.
We're looking forward to hearing from you!