Data Scientist and AI Engineer

hace 2 semanas

Madrid, Madrid, España Inetum Spain A tiempo completo

About Inetum Spain

We are an international, agile digital consultancy with a strong presence in Spain. Our team of 28,000 professionals is dedicated to helping our clients navigate the post-digital transformation era.

We strive to create a work environment that allows our employees to continuously renew themselves, collaborate with clients to build a more positive world, innovate in various industries, and balance their professional and personal lives.

We are proud to have been certified as a Top Employer Europe 2024.

Job Role

The Data Scientist and AI Engineer will be responsible for identifying the needs of our customers and internal Infrastructure teams. This role requires a strong understanding of data science tools and techniques, as well as expertise in machine learning algorithms and methods.

The successful candidate will participate in data structuring, the development of artificial intelligence algorithms, the industrialization of artificial intelligence models in applications, and technology watch on data science tools.

They will also support the construction of machine learning models and anticipate their production launch.

Key Responsibilities

  • Develop and implement data-driven solutions to meet business needs
  • Design and implement machine learning models to drive business outcomes
  • Collaborate with cross-functional teams to identify business opportunities and develop solutions
  • Stay up-to-date with emerging trends and technologies in data science and AI
  • Develop and maintain technical documentation and knowledge base

Requirements

  • Minimum 2 years' experience in data science and AI
  • Expertise in machine learning algorithms and methods
  • Mastery of various neural network architectures and associated development environments/libraries (TensorFlow, PyTorch, Keras, scikit-learn)
  • Proficiency in various operating systems (Linux, Windows)
  • Expertise in databases and database management (SQL/NoSQL) and vector databases
  • Proficiency in programming languages (C++, Java, Python, R) and microservices architectures
  • Mastery of application packaging: Docker, PodMan, Kubernetes
  • Mastery of DevOps and SRE mode development through CI/CD-type development chains
  • Mastery of prediction techniques: Regressions, Arima, Prophet and classification techniques: Random Forest, XGboost, LightGBM
  • Hyperscalers: Azure, GCP, AWS
  • ELK (AI module), opensource world
  • Knowledge of how to use LLMs
  • Would be a plus: knowledge of libraries: datarobot, H2O Prediction, Dataku

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