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Capgemini

Global consulting, technology services, outsourcing

Machine Learning Engineer

Applied Machine LearningUpdated on Nov 14
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • Experience with machine learning and artificial intelligence, including supervised and unsupervised learning.
  • Knowledge of classification, regression, and clustering models.
  • Knowledge of feature engineering, model evaluation and validation, hyperparameter tuning, and cross-validation.
  • Proficiency in Python is required.
  • Advanced SQL skills.
  • Experience with Scikit-learn and Pandas and NumPy, and either TensorFlow or PyTorch.
  • Knowledge of ETL and data preparation, including handling structured and semi-structured datasets, data wrangling, and data quality.

Responsibilities

  • Develop, train, optimize, and implement machine-learning models to solve business problems through data exploitation, process automation, and advanced analytical capabilities.
  • Assist in the development, implementation, and deployment of machine-learning models and systems.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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