Hire Remote Senior
Data Science Developers
in Montreal

Experience in developing and automating the operationalization of Machine Learning models using AWS SageMaker (MLOps pipelines & CI/CD pipelines) Experience leading and training MLOps developers Experienced in the latest Generative AI technologies, focusing on LLM-powered applications, including RAG, Pinecone, Amazon OpenSearch, Langchain, and Amazon Bedrock. Deep understanding of different Machine Learning core concepts and algorithms Experience in using Deep Learning frameworks (TensorFlow, Pytorch, Keras) Strong background in Python (pandas, NumPy, scikit-learn, Flask, OpenCV, nltk, FastAPI, pytest. . . ) Experience in data collection, cleaning, standardization, exploitation and visualization Committed to clean code, best practices, and optimizing performance

Data ScienceMachine LearningAINLPPythonRTensorFlowComputer VisionSQLAWS LambdaAWS SageMakerAWS

Generative AI artisan, with a background in financial services. Fluent in French, English, Arabic, and proficient in Python, I am currently exploring new career opportunities where I can integrate my diverse skills and innate curiosity. Passionate about the development and creation of AI applications: built NarrateNews, InQuire, Instructo and currently (re)building Stewee - a tiny music generation model.

Data ScienceAINLPMachine LearningPythonRAnalyticsFinancial Analysis

I especially enjoy working with early stage startups. I spent many of my formative computer science years in academics, worrying about low level computer science concepts including: logic & mathematics, algorithms, computational complexity, data structures, and language design. My strength in these core concepts allows me to quickly learn new languages, and to easily understand new problems.

Data ScienceNLPMachine LearningPythonJavaScriptRuby on RailsAWSPostgreSQLJavaMongoDBRubyHTML5APIHibernate ORMRESTful APISpringScalability