Company Description

Our Mission Statement

Digital and human resources at the center of the sustainable development of our society.

In a world of continuous transformation, accelerated by technological developments and societal challenges, it is necessary to adapt in an ongoing, agile way to meet the challenges of the future.

About Inetum

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

For more information, visit: www.inetum.com.

Job Description

• Build, train, and deploy machine learning models efficiently using the managed infrastructure and automation capabilities of AWS Sage Maker
• Use Amazon Redshift and S3 for data storage, processing and analysis
• Use Apache Spark and Airflow for large-scale data processing and networking
• Manage and optimize machine learning workflows on Amazon EMR
• Know the Python programming language and data libraries (eg: NumPy, Pandas, Scikit-learn) for data processing, elaboration and analysis.

Qualifications

• Minimum 4 years’ experience as Machine Learning
• Fluent communication on English
• Tech stack: Airflow, AWS, Kafka, EMR, Sage Maker, Spark, Python, TensorFlow, S3, SQL.
• Certifications and recommendations would be a plus

Additional Information

Benefits:

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical subscription
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings