3 days ago

Machine learning Engineer

Sia

Rotterdam

3 days ago

Apply

Sia, a global management consulting group, seeks a Machine Learning Engineer to lead its Data team in Rotterdam. The role involves developing AI products, working on client projects, and guiding Data Scientists. Requires 2-4 years of experience in production ML/DL pipelines, expert Python skills, and cloud infrastructure expertise.

Core AIOn-siteFull-timeMid LevelMachine LearningDeep Learning

Machine learning Engineer

Apply

Core AIOn-siteFull-timeMid LevelMachine Learning

Salary

Not specified

Work Location

Rotterdam, South Holland, Netherlands, NL

Work Model

On-site

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 ConsultingGerman

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 ScienceCloudConsultingLeadershipPythonAWSKubernetesRotterdam

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