Ai/ml Ops

Company Description

CGG is a pioneering Technology company providing fully integrated Geoscience services within the global Energy sector. We deliver a unique range of technologies, services, and equipment designed to understand and address the world’s complex natural resource, environmental, and infrastructure challenges.

**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.
- 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
- 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:

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

**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

Additional Information
**Why work at CGG?**
- Highly intelligent and motivated coworkers who are industry leaders in seismic imaging
- Energetic and challenging-yet-fun work environment, full of imaging problems to be solved and technologies to be developed
- Excellent training and mentorship programs
- We take care of our biggest asset - our people

**Benefits Package**
- Competitive compensation with performance-based bonus program
- Initially 15 days holidays with future increases, complemented by a generous number of paid sick days and personal days
- Medical, Dental & Vision Insurance and Life Insurance for you and your dependents
- RRSP Company matching program
- Employee Assistance Program to support your personal issues

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.

All your information will be kept confidential according to EEO guidelines.

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.