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:
o Proficiency in Python programming.
o Experience with GenAI tools/frameworks: LangChain, LlamaIndex, and RAG systems.
o Familiarity with ChatGPT/OpenAI APIs and prompt engineering.
o Expertise in building RESTful APIs using FastAPI.
o Solid understanding of SQL databases and version control systems like Git.
* MLOps:
o Model deployment and optimization.
o 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!