Lead Engineer, Disciplinary Engineering And Science - Mathematics & Data Science

Baker Hughes

Italy
Hybrid
Ai algorithms for regression, classification, anomaly detection
Ai algorithms for dynamical data sources
Optimization algorithms and active learning
Join our Artificial Intelligence & Development team where we implement and adapt AI algorithms across a broad variety of projects to optimize the production and processing of energy

Job Summary

  • Join our Artificial Intelligence & Development team where we implement and adapt AI algorithms across a broad variety of projects to optimize the production and processing of energy.
  • As Lead AI Specialist for engineering and controls, you will be responsible for collaborating with multidisciplinary teams and leading technical development of research and development projects on the combination of AI and engineering methodologies.
  • We want to play a role in the energy transition through the acceleration of digital transformation and the application of intelligent technologies, and we need people who are creative, curious and eager to change the world.

Matching Summary

Join our Artificial Intelligence & Development team where we implement and adapt AI algorithms across a broad variety of projects to optimize the production and processing of energy.

Skills & Requirements

Must-have

  • AI algorithms for regression, classification, anomaly detection
  • AI algorithms for dynamical data sources
  • Optimization algorithms and active learning
  • Python and C++ programming languages
  • Model deployment techniques and edge serving
  • Turbomachinery thermodynamics, chemistry, rotor dynamics

Nice-to-have

  • Collaborating with multidisciplinary teams
  • Creative, curious, and eager to change the world
  • Freedom, opportunity, and risk appreciation
  • Agentic frameworks requirements
  • Databases, Test Driven Development, Agile Development

Key Requirements

  • Experience defining AI solutions for engineering applications
  • Experience applying AI algorithms for time series data
  • Experience combining models with different data sources
  • Experience defining models for 3D/Graph data types
  • Experience with traditional control algorithms calibration, MPC and RL
  • Working knowledge of modern agentic frameworks
  • Proven track record of keeping up-to-date with AI trends
  • Working knowledge of model deployment techniques and edge serving
  • Working knowledge in databases, TDD and Agile methods

Work Rights

Not specified

Tailored Resume

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