Machine Learning Engineer - MLOps F/M

Key Skills

Aartificial intelligence, AWS, Data Analytics, Data Engineering, Data science techniques, DevOps, Keras software library, Machine learning techniques, PySpark, Python Programming, PyTorch, Scala Programming, Scikit-learn, SPARK Programming, TensorFlow

Job Description

Big Data, Data Science, Data analysis, Data architecture, ... Does that have any secrets for you?

Whether you are starting your professional career or are a specialist in one of these disciplines, joining our Data community is the assurance of progressing, innovating, sharing, certifying yourself and providing service to our clients.

If you would like to join our teams in Toulouse and support the biggest players in Data, this announcement may interest you.

Your future duties and responsibilities:

For several years, CGI has been building its service offering around artificial intelligence solutions. This offer is expanding and we are currently looking for an MLOps Engineer.

You will be integrated into our teams to deliver Machine Leaning applications to our clients, while contributing to the scaling of algorithms and their scalability.

This also requires an ability to develop data pipelines.

You therefore have a technical and solution profile by nature, but you will also be able, if you wish, to contribute to commercial activities (qualification of needs, costing, contribution to trade fairs) and managerial activities (definition of strategy, acculturation of the population, supervision, etc.). ).

You will be integrated into the Data CGI Toulouse offer and will be in contact with all the players in the Data Science & Artificial Intelligence offer.

Finally, you will become a member and contributor to the Data community made up of more than 100 people.

Your responsibilities:

- Development of Machine Learning applications

- Implementation of Devops processes for Machine Learning

- Development of data pipeline (Data Engineering)

- Consulting and Technology Monitoring

By joining CGI, you also benefit from a complete range of training (technical, professional, personal development, etc.), flexibility thanks to our teleworking agreement (up to 3 days of teleworking per week), an advantageous leave policy (27 days of paid leave, RTT, seniority leave and sick child, etc.) and an attractive benefits package (share purchase plan, participation, CSE, etc.).

Required qualifications to be successful in this role:

- Experienced in Data and Devops

- Data Engineering experiences (Python, PySpark, Scala Spark, ..)

- Experiences with ML Frameworks (Scikit-learn, MLlib, Tensorflow, Keras, PyTorch..)

- Knowledge of The AWS ecosystem is a real plus.

CGI is an inclusive employer attentive to the applications of people with disabilities, the career development of men and women and the well-being of our LGBT+ employees. In the interest of accessibility and clarity, the midpoint is not used in this announcement. All terms used refer to both the feminine and masculine genders.

Skills:

• Data Engineering
• Python
• Scala
• Scikit-Learn

What you can expect from us:

Combining knowledge and doing

While technology is at the heart of our clients' digital transformation, we know that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to deliver actionable ideas that produce real, lasting results. We call our employees “members” because they are shareholders and owners of CGI. They enjoy working and growing together to build a company that we are proud of. It's been our dream since 1976. It's brought us to where we are today – one of the largest independent information technology (IT) and management consulting firms in the world.

At CGI, we recognize the richness that diversity brings us. We aspire to create a culture where we all belong and collaborate with our customers to create more inclusive communities. As an employer that advocates equal opportunities for all, we want to give all our members the means to succeed and flourish. If you need specific support during the recruitment and integration process, please let us know. We will be happy to help you.