05/14/2025 updated
DM
100 % available
Data Scientist and Machine Learning Engineer
San Francisco, USA
Worldwide
Master of Science in Data ScienceArtificial IntelligenceAmazon Web ServicesData AnalysisComputer VisionMicrosoft AzureBig DataCloud ComputingComputer ProgrammingData CollectionData ManagementData VisualizationDevOpsFinancial ModelingForecastingInformation Extraction
Machine Learning and AI
Expertise in developing and implementing machine learning models, including deep learning techniques, for various applications such as natural language processing, predictive modeling, and computer vision.
Data Analysis and Visualization
Proficiency in data acquisition, statistical analysis, and data visualization using tools like Python, SQL, Pandas, NumPy, and Matplotlib.
Programming and Cloud Technologies
Strong programming skills in Python, along with experience in cloud platforms such as AWS, GCP, and Azure for deploying and scaling machine learning solutions.
Natural Language Processing
Experience with NLP techniques, including work with Large Language Models (LLMs) and prompt engineering for information extraction and text analysis.
Big Data Technologies
Familiarity with big data tools and frameworks such as Spark for processing and analyzing large datasets efficiently.
DevOps and Containerization
Knowledge of Docker and Kubernetes for containerizing and orchestrating machine learning applications and microservices.
Time Series Analysis
Skills in time series forecasting and analysis, applied to various domains including financial modeling and predictive maintenance.
Expertise in developing and implementing machine learning models, including deep learning techniques, for various applications such as natural language processing, predictive modeling, and computer vision.
Data Analysis and Visualization
Proficiency in data acquisition, statistical analysis, and data visualization using tools like Python, SQL, Pandas, NumPy, and Matplotlib.
Programming and Cloud Technologies
Strong programming skills in Python, along with experience in cloud platforms such as AWS, GCP, and Azure for deploying and scaling machine learning solutions.
Natural Language Processing
Experience with NLP techniques, including work with Large Language Models (LLMs) and prompt engineering for information extraction and text analysis.
Big Data Technologies
Familiarity with big data tools and frameworks such as Spark for processing and analyzing large datasets efficiently.
DevOps and Containerization
Knowledge of Docker and Kubernetes for containerizing and orchestrating machine learning applications and microservices.
Time Series Analysis
Skills in time series forecasting and analysis, applied to various domains including financial modeling and predictive maintenance.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishNative speakerSpanishNative speaker
Project history
Researching and implementing prompt engineering techniques for Large Language Models, conducting feature importance analysis, developing predictive models for legal case value assessment, and building inference pipelines with MLFlow for AI model testing and improvement.
Developed machine learning models for comment classification and personalized content generation, implemented a Retrieval-Augmented Generation system, and collaborated on enhancing data collection for NLP model training.
Developed machine learning models for real estate price prediction, applied data cleaning and feature engineering techniques, and conducted data analysis for predictive models in the financial environment.