Senior ML Engineer

Dnata
Amsterdam, Netherlands
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Machine Learning Deep Learning Machine Learning Operations

Job description

Wat ga je doen - Drive full ML model development lifecycle - Create requirements for data collection - Develop and improve ML training pipelines in cloud - Involve stakeholders during development and monitoring - Scale ML environment for multiple models - Support and mentor team members

Requirements

Wat je meebrengt - 8-10 years experience as ML Engineer or similar - Bachelor’s or Master’s in relevant field - Hands-on expertise with deep learning architectures - Experience with MLOps for scalable training and deployment - Experience developing ML models for consumer product - Ability to translate user needs into technical requirements Mooi meegenomen - Knowledge of Apache Airflow - Knowledge of dbt - Experience in regulated or medical environment

Benefits & conditions

Wat je krijgt - Competitive salary - Additional benefits - Hybrid working policy - Vibrant scale-up environment - International team - Unlimited skin checks Over SkinVision SkinVision is a company focused on skin health, offering a dynamic and international work environment. Samenvatting door Personeel.com. De volledige vacaturetekst en het sollicitatieformulier staan op de website van SkinVision (careers.skinvision.com); met Solliciteer ga je er direct heen.

About the company

Amsterdam Vandaag Full-time Hybride Engelstalig Solliciteer Bewaar Salarisindicatie Deze vacature noemt geen salaris. Vacatures voor engineer in Amsterdam die wel een salaris noemen, bieden meestal tussen € 5.100 en € 7.000 bruto per maand (mediaan € 5.700), omgerekend naar een fulltime baan. Dat blijkt uit 33 vacatures op Personeel.com. Een indicatie, geen aanbod van deze werkgever: vraag naar het salaris als je solliciteert. At SkinVision, you will drive the full lifecycle of machine learning model development, from data collection to deployment. This role offers the chance to scale the ML environment for multiple models while mentoring team members in a vibrant scale-up setting.

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