Freelancer profile translated to English.
Back to original languageAbout Rachid
I am passionate about Machine Learning with several years of experience in this field. Over these years, I have developed expertise in building and optimizing Machine Learning models. I have also acquired solid knowledge of Azure and AWS platform pipelines, enabling me to use them effectively for Machine Learning projects.
I am also a certified Microsoft Azure Data Scientist Associate, which demonstrates my in-depth knowledge of the Azure platform. Additionally, I have developed proven skills in Deep Learning, Time Series, and MLflow. For Deep Learning, I can work on both Tensorflow and PyTorch projects.
Throughout my career, I have worked on several exciting projects, such as sentiment analysis, customer segmentation, and behavioral analysis for recommending products, content, or services to users based on their preferences. I have worked on both fraud detection projects with significant financial impact and image classification projects. I have also been responsible for setting up machine learning model pipelines and optimizing them with Azure, AWS, or MLFlow technologies.
French
Native or bilingual
English
Fluent
Arabic
Fluent
Remote only
Primarily works remotely
Experience
- INSY2SMLOps Engineer, AWSCONSULTING AND AUDITSSeptember 2023 - September 2024 (1 year and 1 month)Lille, FranceAs part of the Pigment platform optimization project, I led several key initiatives to enhance technical and operational capabilities, with a particular focus on DevOps/MLOps practices.My role in this mission included:MLOps Development and Industrialization:▪ Implemented an MLOps approach to automate the training, deployment, and monitoring of predictive models via AWS SageMaker.▪ Monitored MLOps pipelines and production environments using Amazon CloudWatch, enabling real-time performance monitoring of models and infrastructure.▪ Deployed CI/CD pipelines with GitLab CI for Django/PostgreSQL applications, facilitating continuous integration and deployment.DevOps Infrastructure:▪ Utilized Kubernetes (K8s) for managing and orchestrating containers in production, with Helm configuration to automate deployments and scalability.▪ Set up Docker and Docker-Compose for containerizing applications, ensuring rapid development and consistent deployments across different environments.▪ SonarQube was integrated into CI/CD pipelines for static code analysis and continuous code quality improvement.
- PIGMENTBuilding Time Series Forecasting POCsTECHJune 2023 - July 2023Paris, FranceBuilding POCs for time series forecasting on the Pigment platform: Points of Sale, Sales,...
- Alternative Trading ParisAI & Machine Learning Service OfferingCONSULTING AND AUDITSSeptember 2022 - Today (3 years and 9 months)Paris, FranceCreating trading bots in an Azure MLOps, Time Series, and Tensorflow environment for my company
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Education
- Master of AI & Machine Learning, Artificial IntelligenceSimplilearn Alumni2020Master of AI & Machine Learning, Artifial Intelligence
- POST GRADUATE PROGRAM IN AI AND MACHINE LEARNINGPURDUE UNIVERSITY2019
Certifications
- Azure Data Scientist AssociateMicrosoft2021
- Machine Learning DevOps EngineerUdacity2021