Introdução
Claire Joster is looking for a Machine Learning (M/F). Our client operates in the area of information technology services.
Função
Analyze internal clients’ needs:
– Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges;
– Investigate and solve business issues using technical, data-driven, AI/ML strategies;
-Build and/or adapt AI/ML models:
– Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i.e., collect labeled data, setup and train models, test and evaluate results;
– Work closely with clients during application roll-out and all stages of the application lifecycle;
– Design the most adequate approaches to solve the identified problems within the company’s framework;
– Implement and assist the deployment and maintenance of models:
– Follow to best practices in the industry to implement and scale out the developed solutions into production grade software;
– Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions.
Requisitos
– Up to 2 year experience as Data Analyst / Data Scientist / Machine Learning Specialist in at least one of
the following areas:
– NLP, data extraction, document processing or process automation projects;
– Classification / Regression / Clustering Machine Learning and/or statistical models;
– Deep Learning models preferentially in the context of NLP, Speech-to-text or computer vision projects ;
– Artificial Intelligence techniques and paradigms;
– Exposure to professional software development environment.
SKILLS:
– Fluent in English (C1- C2)
– High statistical and quantitative analysis skills (e.g. machine learning models, statistical models,
Bayesian statistics, probability theory, time series analysis, …);
– Knowledge of ETL methods;
– Knowledge of Machine Learning models;
– Knowledge of NLP and/or computer vision techniques;
– Knowledge of deep learning architectures and frameworks (e.g. TensorFlow, Keras, …);
– Knowledge of at least one ML development stack (e.g. Scikit-learn, Keras, PyTorch…);
– Effective Programming skills (e.g. Python) and algorithmic knowledge.