2 days ago

Machine learning Engineer

Sia

Maastricht

2 days ago

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Sia, a global management consulting group, seeks a Machine Learning Engineer to lead its Data team in the Netherlands. The role involves developing AI products, working on client projects, and guiding Data Scientists. Requires 2-4 years of experience in production ML/Deep Learning, expert Python skills, and fluency in English and Dutch.

Core AIRemoteFull-timeMid LevelMachine LearningDeep Learning

Machine learning Engineer

Apply

Core AIRemoteFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Maastricht, Limburg, Netherlands, NL

Work Model

Remote

Experience Required

4 years

Employment Type

Full-time

Experience Level

2-4 years of experience in building production-quality ML/Deep Learning pipelines and models

Core Qualifications

Technical (Must-have)

Machine LearningDeep LearningPythonScalaC++JavaSQLPostgreSQLAWSGCPAzureGitDockerKubernetesApache Spark

Soft Skills

LeadershipProject ManagementTime ManagementProblem SolvingCommunicationAdaptabilityCollaborationCoachingMentoring

Preferred Qualifications

Technical (Nice-to-have)

Management ConsultingApache HadoopDatabricks

Key Responsibilities

•Leading an internal team towards the development of AI products
•Working in a multidisciplinary team on client projects as an expert on your subject
•Making architectural and design decisions for cloud environments
•Building production level ML/AI solutions with solid software engineering
•Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping)
•Giving trainings, leading internal meetings and organizing external events
•Participating in team meetings and workshops with clients
•Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead

Machine LearningDeep LearningData ScienceCloudConsultingLeadershipPythonAWSGCPAzure

Key Responsibilities

•Leading an internal team towards the development of AI products

•Working in a multidisciplinary team on client projects as an expert on your subject

•Making architectural and design decisions for cloud environments

•Building production level ML/AI solutions with solid software engineering

•Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping)

•Giving trainings, leading internal meetings and organizing external events

•Participating in team meetings and workshops with clients

•Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead