AI software developer
Taux horaire: membres seulement
Disponibilité: membres seulement
Disponibilité à voyager: Europe
Statut professionnel: Étudiant
Dernière mise à jour: 17 déc. 2024
Expérience de travail totale:
Connaissances linguistiques: Anglais,
Sommaire professionel
• A dynamic, analytical, detail-oriented IT/ Systems/ Data Science Professional with extensive experience in machine learning, Cloud/ Big Data technologies and technical support. • A Systems Science Graduate with diverse professional experience in machine learning, data engineering, database administration, technical support. • AWS Certified with In-depth knowledge of Amazon Big Data Analytics and Machine Learning services, including S3, DynamoDB, Glue ETL, Kinesis, Data Pipelines, Athena, QuickSight, EMR, and SageMaker, as well as Apache Spark. • Passionate and creative in Machine Learning, experience in Huggingface Large Language Models (LLMs) and utilizing cutting-edge technologies to leverage state-of-the art machine learning models. • Professional experience in data engineering and SQL query optimization with a strong background in machine/ deep learning, statistical modelling and object-oriented programming. • Broad IT project experience with a demonstrated ability to lead client and internal teams in end-user training, system migration/ integration, requirements engineering, and technical troubleshooting. • Advanced user of specialized programming languages including Python (Pandas,Numpy, Torch, Transformers, PySpark, Sklearn, Tensorflow, Keras, nltk, re, Spacy,..),SQL (Microsoft SQL, MYSQL, PostgreSQL), R (stringr, tidyverse, modelr), Java, and business Intelligence tools, including Excel and Power BI, Linux and Windows operating systems.
Compétences
SQL5 Amazon Web Services (AWS)1 Python4 ETL5 Machine learning4 Software engineering / -technology2 Data analysis5 Natural Language Processing (NLP)2Connaissances linguistiques
Anglais
Fluide