SENIOR MACHINE LEARNING / LARGE LANGUAGE MODEL ENGINEER (REMOTE, PART-TIME)

Company Description WeCookiT is an international software house that delivers software development to its corporate customers by providing highly skilled, communicative IT professionals to build their customized products through outsourcing, nearshoring and turn-key projects’ solutions.
How do we differentiate ourselves? By investing in the professional growth and personal care of our software developers.
We provide them with a premium service so that they can do the same for our customers.
Our talented team holds software engineers and sales experts, spread across offices in Europe and South America, and we represent a go-getting and driven company who aims to be an inspiring software house, knowing our future relies on IT.
WeCookiT stand for growth, support, dynamic, companionship and communication.
Our head office is located in Portugal in the heart of Lisbon (Avenida da Liberdade) and we work mainly for the European market.
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.
.
countries from Ukraine, CIS, Balkans, Asia, or Africa.
Due to data sensitivity, only E.
.-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.
., 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.
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