Machine Learning Engineer
3 maanden geleden
Amsterdam of Vilvoorde: Lijkt het jou interessant om je bezig te houden met ML modellen binnen het domein van digital advertising voor bekende merken met miljoenen viewers op dagbasis? Lees dan snel verder
Wie zijn wij
Het Advertising Data BENE team bestaat uit 15 collega’s (development team van 10 en 5 business profielen) en is verantwoordelijk voor advertising data, AI/MLE & generative AI oplossingen binnen het domein van digital advertising. Je hebt daarbij dagelijks contact met Product & Innovatieteams, Developers en natuurlijk je teamgenoten zelf. Je komt terecht in het Advertising Data BENE team, dat onderdeel is van de centrale afdeling Digital Sales Development. Vanuit ons kantoor in Amsterdam of Vilvoorde kom je terecht in een energieke omgeving die volop in ontwikkeling is.
Wat ga je doen?
In de rol van ML Engineer ben je verantwoordelijk voor het end-to-end implementeren van ML modellen binnen het domein van digital advertising. Je bouwt en onderhoudt ook data pipelines & werkt mee aan onze web applicaties.
Voorbeeld ML modellen, data pipelines & web applicaties in het advertentie domein:
DPG Datalab - self service applicatie voor adverteerders om audiences samen te stellen voor targeted advertising (similar to Facebook Business Manager)
Modellen die voorspellen welke advertentie banner/creative het meest geschikt is voor een online bezoeker
Predictieve modellen voor most likely converters/clickers van advertentie campagnes
Predictieve modellen voor het voorspellen van leeftijd en gender van DPG Media online bezoekers obv geconsumeerde content
Toevoegen van profile enrichments in batch & real-time flows in een big data environment
Data pipelines & dashboards voor quality monitoring & alerting
Taken
Je versterkt ons scrum team bestaande uit Product Owner, Scrum Master & 8 developers.
je neemt deel aan standups, refinements, retro’s & demo’s (2-week)
you build it, you run it mentaliteit (development & devops, infra-as-code, CICD, …)
je analyseert requirements, experimenteert met verschillende modellen, onderbouwt je keuzes adhv quality parameters, implementeert & presenteert resultaten naar het dev & business team
je bouwt mee aan onze onderliggende data stack & data pipelines (python, PySpark, ElasticSearch, Terraform, Airflow,..)
je bouwt samen met de Data & ML engineers ons ML Ops platform uit
je integreert onze services met andere DPG teams die van onze data services gebruik maken
je neemt ownership & accountability voor bepaalde modellen, jobs & applicaties
20% van de tijd werken aan features en modellen, 80% is bouwen aan de data stack, web applicaties & incrementele verbeteringen
Wij bieden
Wat maakt jou de perfecte kandidaat?
Je bent een solide software engineer met idealiter enkele jaren ervaring als ML Engineer
Je hebt minimaal 1 jaar ervaring met AWS Stack, Python, (Py)Spark, Terraform en Airflow
Je hebt hands-on ervaring met ML Ops & ML frameworks (f.e. SKlearn) voor het trainen, monitoren, deployen van features & modellen
Ervaring met Java & Spring is een plus
Je bent grondig maar pragmatisch met oog voor kwaliteit & testing
Je bent niet bang om je weg te zoeken in een complex business domein met veel stakeholders om requirements te doorgronden & complexe problemen aan te pakken
Afhankelijk van jouw woonlocatie werk je in Amsterdam Zuid-Oost (NL) of Vilvoorde (BE). 1x per maand reis je over de grens voor teammeetings.
Beheersing van de Nederlandse taal is een must.
Als hét grootste mediabedrijf van Nederland staan we open voor alle talent in de maatschappij. Wij roepen kandidaten met een diverse achtergrond in de breedste zin van het woord dan ook op om te solliciteren op deze functie. Juist door de verschillen tussen collega’s ontstaan verrassende inzichten en innovatieve oplossingen. En dat past dan weer heel erg goed bij ons als organisatie. We zijn benieuwd wie jij bent en welke kwaliteiten en ervaring jij meebrengt.
Word jij binnenkort onze nieuwe collega? Solliciteer dan nu
Eerst nog wat meer weten? Ik beantwoord graag je vragen via
Wij doen graag onze werving zelf en wensen niet samen te werken voor de invulling van deze rol
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