ML Engineer
il y a 2 semaines
Department
At Sappi, our Digital Transformation team thrives on tackling business challenges by harnessing the power of analytics, AI, and user-centric design. Driven by a passionate group of data and analytics experts, we optimise processes, uncover valuable insights, and empower proactive decision-making to drive success. Join us as we innovate and transform the future
Role and Responsibilities
In this role you will report to the Head of Data Analytics (based in Brussels).
You will be responsible for:
- Collaborating with various teams to analyze key business problems and develop innovative ML solutions, continuously delivering valuable output.
- Designing and implementing scalable machine learning (ML) and Artificial Intelligence (AI) solutions into daily operations.
- Establishing testing, monitoring and continuous improvement of ML processes.
- Making relevant, detailed, well-structured data available for analytics
- Applying data science best practices focusing on data preprocessing, feature engineering and model evaluation. Enable rapid prototyping and evaluation.
Required Qualifications
- Experience developing and optimizing scalable machine learning solutions on cloud platforms (e.g., GCP, Azure, AWS).
- Strong expertise in ML operations and coding with Python; knowledge of SQL is a plus.
- Excellent collaboration and communication skills, adaptable to both technical and business audiences.
- Intellectual curiosity and a degree in a relevant field (e.g., computer science, statistics, mathematics, engineering).
- Fluent in English.
Traveling:
It is expected to have some traveling (up to 10%) to the locations of group.
What we offer:
- An excellent opportunity to work, learn & grow with us. With our culture of learning & development, you can access thousands of online trainings
- A multi-cultural & international environment to share and collaborate with colleagues from more than 68 nationalities in 31 locations globally.
- A unique opportunity to join a global wood fibre solution company. We are constantly innovating toward a circular economy working to achieve our sustainability goals & reduce our carbon foot print.
- Friendly atmosphere and team-work oriented culture
- Work-life balance
- Training opportunities
All qualified applicants will be considered for employment, regardless of their race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, pregnancy, neurodiversity, disability, or any other aspect that makes them unique.
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