Python Developer for Ai
il y a 4 jours
**Company Description**
Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so With more than 56.000 colleagues in 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.
The world is how we shape it. Let’s shape it together.
As an MLOps Engineer, you will help our clients with automating and managing the machine learning lifecyle. More specifically, the responsibilities include design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs. You identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc, Furthermore, you collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution. In addition you implement CI/CD pipelines, IaC, monitoring for models and infrastructure.
**Qualifications**
**You’ll have knowledge and experience of the following**:
- At least 3 years of experience as an MLOps Engineer, Machine Learning Engineer or in a similar position
- Experience managing the machine learning lifecycle in production, and related MLOps frameworks
- Master CI/CD pipelines and Infrastructure as Code
- In depth knowledge of containers and container orchestration
- Solid understanding of Linux and in depth knowledge of at least one cloud provider
- Programming experience with Python
- Experience with monitoring and logging technologies
- Good grasp of big data technologies such as Apache Spark, ElasticSearch, Kafka
- Able to coach others and give technical advice and direction
- Understanding of networking, firewalls, and IT infrastructure
- Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
- Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
- Proficient in English, knowledge of Dutch and/or French is a plus
Bonus
- Experience with Data Quality and Governance
- Experience with Data Engineering
**What we can offer you**
As a member of one of Europe’s largest digital solutions providers, you’ll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you’ll be part of a dynamic network of 56,000 professionals at all stages of their careers. With a wide array of offices to explore, you can find your ideal location and take the next step in your career.
**Additional Information**
Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.
We offer a generous employee benefits package that includes:
- A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more.
- Continuous learning opportunities through the Sopra Steria Academy to support your career development.
- The opportunity to connect with fellow Sopra Steria colleagues at various team events.
People are the cornerstone of our success. That’s why we aspire to be bolder together. Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.
- ___
- Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences._
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