AI Platform Engineer (MLOps) for Safe, Scalable Models

Huawei Finland R&D; Helsinki; On-site; EUR 50,000 - 70,000; Full time

Job summary

A leading technology firm in Finland is looking for a versatile AI Engineer to be part of their Cloud Content Security Lab in Helsinki. The role involves building and optimizing data pipelines, developing AI automation frameworks, and conducting performance evaluations for models. Candidates should have a Master's or PhD in relevant fields, expertise in Python and SQL, and a strong understanding of data privacy. The position is full-time and based on site, providing an opportunity to contribute to advanced AI solutions.

Qualifications

• 2+ years experience in ML Engineering, MLOps, or Data Engineering.
• Proven track record of deploying models in large-scale production environments.
• Experience prototype complex systems from scratch and define best practices.

Responsibilities

• Design and maintain automated data pipelines and data lakes.
• Develop and optimize automated AI training frameworks.
• Conduct experiments, testing and benchmark evaluations.
• Automate AI infrastructure for scalability and efficiency.
• Develop AI/ML based tools and applications.

Skills

Python

SQL

Big data tools (Spark/Kafka)

CI/CD for ML

Kubernetes

Docker

Data privacy principles (GDPR)

Adversarial ML

Education

Master or PhD in computer science, mathematics, statistics, computational linguistics or equivalent experience

Tools

Kubernetes

Docker

Job description

A leading technology firm in Finland is looking for a versatile AI Engineer to be part of their Cloud Content Security Lab in Helsinki. The role involves building and optimizing data pipelines, developing AI automation frameworks, and conducting performance evaluations for models. Candidates should have a Master's or PhD in relevant fields, expertise in Python and SQL, and a strong understanding of data privacy. The position is full-time and based on site, providing an opportunity to contribute to advanced AI solutions.