AI/ML Ops

Company Description

CGG (www.cgg.com) is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future. 

Job Description

• Use AI and big data to create Intelligent observability (from monitoring systems output, job logs, syslogs, etc.) and engagement data (from ticketing, incident, and event recording system data) to produce a virtuous circle of continuous insights yielding continuous improvements and fixes.   
• You will work with a team of experienced researchers, data scientists, application developers and cloud operations experts to take on evolving challenges in the field of AIOps.
• Your primary goal will be to implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from available data.   Not limited to understanding patterns, to self-diagnose/healing and monitoring alerting algorithms
• You will have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.
• Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
• Take offline models data scientists build and turn them into a real machine learning production system
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Communicate with clients to build requirements and track progress

This role combines:

1. Automates IT Operations and systems, root cause analysis and resolution
2. Leverage revolutionary AI technologies to solve IT challenges
3. Practical knowledge of working with scalable platforms for processing of huge data sets
4. Ability to understand the data, associated processes, and business implications
5. Scaling from minimum viable product up to shippable code
6. Build and maintaining innovative new solutions from the ground-up 

#LI-Hybrid

#LI-MF1

Qualifications

• Good project management skills
• Strong knowledge of Enterprise System Management tools, and up-to-date Subject Matter Expert
• Strong programming & scripting skills (Python /C++/ Java /JS/Spark/Shell) in the scope of Big Data ecosystem
• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
• Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Demonstratable achievements of AI algorithms
• Experience developing and maintaining ML systems built with open-source tools
• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
• Understanding of Relational Databases
• Strong software engineering skills in complex, multi-language systems
• Excellent working knowledge in Operating Systems (Linux, UNIX)
• Experience with REST API Webhook integration configuration
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Ideally, minimum 3 years' experience in similar activities 

Additional Information

Why work at CGG?

• Competitive salary commensurate with experience
• Highly attractive bonus scheme
• Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program
• Company pension with generous employer contribution
• Wellbeing Unmind app – puts you in control of your mental health
• A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!
• Regular social club events, spontaneous reward events throughout the year
• Cycle purchase scheme
• Flexible Private Medical & Dental care programmes
• Sponsorship of visas/comprehensive relocation packages

We are Flexible

• Flexible Working – through our hybrid working scheme, we offer a flexible blend of home and office working
• Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!
• Relaxed dress code policy

Learning and Development

At CGG, you will have the space to grow at the pace of your passion and explore the opportunities available to those who dare and deliver.

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs our employees to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of CGG developed courses, managed through our own Learning Hub.

We Care about the Environment

We encourage and actively support a strong sense of community, 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.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.