ML Engineer

Responsibilities

• Develop, implement and standardize Marketing Science solutions in proofs-of-concept and prototypes
• Continuously improve the efficiency of our Marketing Science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)
• Optimize our Marketing Science models using code optimization, high-performance computing and real-time techniques
• Build analytical pipelines at scale using cloud services, containerized applications and distributed systems
• Identify best practices and create continuous improvement of tools and methods
• Collaborate closely with Product Owners, Modelers, Marketing Scientists and Front-End Engineers
• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills
• Strong expertise in Python - at least 3 years of development
• Understanding of R
• Experience in (predictive) statistical modeling and causal inference
• Ability to manage code deployments (experience with GIT)
• Basic understanding of Dockerization - building and managing docker images
• Experience with creating, managing and/or maintaining code documentation
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
• Experience with Cloud services such as Azure or AWS
• Ability to present and explain complex concepts to less experienced colleagues
• Familiarity of Kubernetes and Airflow is a plus
• Soft Skills
• Strong analytical and problem-solving skills
• Ability to work independently
• Pronounced attention to detail - ensure all outputs are delivered professionally and accurate
• Good interpersonal skills - treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit
• Well-organized and flexible, and demonstrate self-confidence, decisiveness and commitment
• Ability to work alone without constant support, and well organized
• Ease of communication in an English-speaking business environment
• Salary : €38,400 - €54,700 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.

Benefits

Additional Information

Mission Develop Marketing Science solutions in the area of Media Effectiveness Support product development during concept testing, scaling and production Transform proofs-of-concepts into scalable, production-ready code

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Company Intel

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