María C.-AI Engineer
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Experience
AI Engineer
Jaisoft, S.L.; Seahorse Technologies, S.L.; Seahorse Factory, S.L.
- Analysis, design and implementation of a multi-agent text-to-SQL RAG for advanced products management
- PostgreSQL, FAISS, OpenAI API, LangChain, Streamlit, Neo4j, LangGraph, FastAPI, PySpark, Terraform and Kubernetes
AI Engineer
Jaisoft, S.L.
- Analysis, design and implementation of a text-to-SQL RAG for advanced clients management
- PostgreSQL, FAISS, HuggingFace, Streamlit, Neo4j, FastAPI, PySpark, Terraform and Kubernetes
AI Engineer
Jaisoft, S.L.
- Analysis, design and implementation of a semantic network for advanced products and clients management
- Terraform, Kubernetes, Angular, Spring Boot, PySpark, Jena, Lucen, PyTorch, HuggingFace and Stanford NLP
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Research and Development, and Business Intelligence.
Summary
AI Scientist specialising in machine learning, reinforcement learning, and deep learning model development. Experienced in model evaluation, fine-tuning transformer architectures, and deploying scalable AI solutions on cloud platforms. Skilled in turning complex data into actionable insights and delivering production-ready AI applications.
Skills
- Model Engineering: Designing, Testing, And Optimising Dl Architectures For Real-World Problems (Pytorch And Tensorflow For Cnn, Rnn, Gnn, Transformers), Model Fine-Tuning With Hugging Face Transformers, Amazon Bedrock, Gemini And Openai.
- Context Engineering: Ai Agents (Streamlit, Langchain And Langgraph), And Rags (Faiss, Chroma, Qdrant, Pinecone, Postgresql, Mongodb, And Neo4j).
- Evaluation Engineering: Openevals And Openai Evals.
- Data Visualization: Power Bi, Qlik, Tableau, Python Libraries (Matplotlib, Seaborn, Bokeh, Plotly) And R Libraries (Ggplot2, Plotly).
- Microservices Engineering: Pydantic, Requests And Fastapi (Oas3).
- Mlops: End-To-End Model Deployment And Monitoring Using Google Colab, Aws Sagemaker And Azure Ml (Ci/Cd Pipelines For Scalable Ai Applications).
- Big Data: Pyspark And Databricks.
Languages
Education
Master in Data Science and Business Analytics · Data Science and Business Analytics
PhD in Pedagogy · Pedagogy
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
María is based in Camuñas, Spain.
María speaks the following languages: Spanish (Native), English (Advanced).
María has at least 16 years of experience. During this time, María has worked in at least 1 role and for 2 different companies. The average length of individual experience is 5 years and 4 months. Note that María may not have shared all experience and actually has more experience.
Based on recent experience, María would be well-suited for roles such as: AI Engineer.
María's most recent position is AI Engineer at Jaisoft, S.L.; Seahorse Technologies, S.L.; Seahorse Factory, S.L..
In recent years, María has worked for Jaisoft, S.L.; Seahorse Technologies, S.L.; Seahorse Factory, S.L..
María is most experienced in industries like Information Technology.
María is most experienced in business areas like Information Technology, Product Development, and Research and Development. María also has some experience in Business Intelligence.
María has recently worked in industries like Information Technology.
María has recently worked in business areas like Information Technology, Product Development, and Research and Development.
María holds a Doctorate in Pedagogy and a Master in Data Science and Business Analytics.
The availability of María needs to be confirmed.
Daily rate distribution
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 12 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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