Machine Learning Engineer

  • Flexible Location, OTHER
  • Full-time

Company Description

CGG is a pioneering Technology Company providing world class fully integrated Geoscience services within the global Energy sector. Created in 1931, our history tells the story of a profession conducted with passion and of an adventure stretching across five continents. We employ in excess of 4,000 people worldwide, who bring a unique blend of talent and energy through working together to deliver unrivalled innovative solutions to our customers.

Through our cutting-edge Technology in Geoscience and customer focus, we have achieved outstanding leadership with a strong focus on innovation and a commitment to delivering the best sustainable solutions to our clients' energy challenges.

We bring our clients a unique range of technologies and services, designed to generate stunning 3D images, geological data and remote sensing information of the Earth’s surface and subsurface structures.

Job Description

Job Overview

We are looking for a talented individual to join our Multi-Client New Ventures (MCNV) team as a Machine Learning Engineer. Working closely with the MCNV Data Management director, you will play a vital role in the continual development of our artificial intelligence tools and systems. You will work closely with software developers and the subject matter experts in our geoscience and data management teams to identify potential opportunities and implement machine learning and deep learning solutions for our client offerings.  As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts, to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Key Responsibilities

  • Evaluate existing machine learning systems to identify and develop solutions according to requirements
  • Research and implement appropriate Machine Learning algorithms and tools, and mitigate against potential downtime
  • Select appropriate data representation methods for various structured, semi-structured and unstructured databases
  • Study and transform data science prototypes by regularly performing statistical analysis and refining rules based on test results
  • Capable to leverage ML/AI experience to manage other technical professionals in implementing ML solutions


Key Skills & Experience

  • At minimum BSc. in Computer Science, Mathematics, Physics or other related technical discipline
  • Strong enterprise project experience with data science, Artificial Intelligence and Machine learning
  • A passion and aptitude for programming and statistics, and enthusiasm for analytical and problem-solving challenges
  • Strong experience in developing and debugging in Python and preferably at least one of other main languages (C/C++/ R / Java)
  • Proven experience creating deep learning frameworks and usage of DL libraries (TensorFlow/Pytorch)
  • Strong understanding of Data structuring – webs craping, data mining, clustering & classification
  • Ability to design, build and manage project deadlines
  • An enthusiastic attitude towards learning and flexibility to adapt to new challenges or fast-paced changes on projects
  • Ability to take an inclusive approach working with a global organization
  • Ability to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • A trustworthy and dependable team player, able to operate independently and demonstrating high productivity

Additional Information

Why work at CGG?

  • Highly intelligent and motivated coworkers who are leaders in the energy industry
  • Energetic and challenging-yet-fun work environment, full of exciting imaging problems to be solved and technologies to be developed
  • Excellent training and mentorship programs
  • Full health benefits and generous pension scheme employer-matching
  • Work life balance: flexible working and relaxed dress code policies
  • Well-being: Onsite gyms, exercise classes, breakrooms and promoting active lifestyles.
  • Our restaurants: offering great food and a highly effective and social workspace
  • A strong sense of community & responsibility: through volunteering and various company initiatives as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises
  • Last but not least, we take care of our biggest asset – our people!
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