Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and maintaining the ML infrastructure to develop, train, and deploy ranking models for hirify.global's personalization team with an accent on end-to-end machine learning deployments and maintenance of ML systems. Focus on implementing real-time inference ML models in production and scaling solutions.

Location: This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany

Company

hirify.global creates technology that brings joy, simplicity and earnings to the neighborhoods of the world through delivery services.

What you will do

• Build the ML infrastructure to develop, train, and deploy hirify.global’s ranking models.
• Work end-to-end, from use case design to implementation, delivery, and monitoring of your solutions.
• Maintain the production ML stack and raise the team’s ML engineering excellence bar.
• Liaise with hirify.global’s ML Platform team to adopt different ML technologies and to create technical requirements for their solutions.
• Contribute to hirify.global ML Engineering and Applied Science communities.
• Provide solutions to customer problems with a direct impact on the company’s business KPIs.

Requirements

• Experienced in end-to-end machine learning deployments and maintenance of ML systems with at least 2+ years of experience in ML/MLOps.
• Experience deploying and running ML models in production at scale.
• Experience in scaling solutions, monitoring ML stacks, and troubleshooting ML deployments.
• Experienced in implementing real-time inference ML models in production.
• Good understanding of ML and MLOps principles as well as Software engineering experience in Python.
• Experienced in Docker, Kubernetes, workflow orchestration tools (e.g. Flyte), model and experiment registries (e.g. MLflow) and model serving systems (e.g. Seldon).
• Solid communication and collaboration skills.

Culture & Benefits

• Committed to growing and empowering a more inclusive community within the company.
• Hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
• True innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.