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Engineering manager, machine learning

Descompagnons Trabalho Temporário Lda

Odivelas

Presencial

EUR 80 000 - 100 000

Tempo integral

Há 7 dias
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading software company in Odivelas is seeking an experienced Engineering Manager for Machine Learning to lead a team and deliver AI/ML powered features. The ideal candidate will have strong management experience, proven expertise in machine learning projects, and excellent communication skills. This hybrid role offers flexibility with a mix of local office time and remote work.

Qualificações

  • Experience managing people across one or more teams, ideally in large, distributed systems.
  • Proven expertise in leading machine learning projects to production.
  • Excellent communication skills, both written and verbal.

Responsabilidades

  • Lead a team of Machine Learning Engineers and Scientists.
  • Collaborate with ML/AI leadership to improve software delivery.
  • Create an inclusive working environment.

Conhecimentos

Team management
Machine learning project delivery
Communication skills
Prioritization skills
Collaboration

Ferramentas

Python
Ruby
AWS
PyTorch
Airflow
Metaflow
Kubernetes
Docker
Descrição da oferta de emprego
Engineering Manager, Machine Learning

Odivelas, Lisboa, Portugal

Job Description

At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and collaborative culture.

We are looking for a Machine Learning Engineering Manager to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.

What you will be doing

  • Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.
  • Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
  • Lead the recruitment of new team members and facilitate a speedy, engaged interview process.
  • Create a diverse and inclusive working environment where people can thrive.
  • Be an active contributor to your team’s continuous improvement and its members’ career development.

What you bring to the role

Required

  • Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.
  • Proven expertise in leading the delivery of machine learning projects to production.
  • Phenomenal communication skills, both written and verbal.
  • Refined prioritization skills; you are able to focus your time and energy where it’ll have the most impact.
  • A dedication to continual development.
  • Collaborative, upbeat work ethic where you can take ownership and have fun.

Preferred

  • Previous experience delivering ML products or in ML operations (MLOps).
  • Experience with recent tooling around LLM evaluation and monitoring.
  • Experience with either SQL or DBT.

Tech Stack

  • Python and Ruby.
  • AWS infrastructure.
  • PyTorch for local machine learning models.
  • Airflow and Metaflow for ML pipelines.
  • Data storage on S3, RDS MySQL and Snowflake.
  • Deployment to Kubernetes using Docker.
  • Heavy usage of LLM technology from multiple providers.

Hybrid: This role is hybrid with time spent in the local office and remote work. The specific office schedule will be determined by the hiring manager.

About Zendesk Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement, allowing organizations to move quickly, focus on innovation, and scale with their growth.

Zendesk is an equal‑opportunity employer. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender identity, sexual orientation, disability, or any other characteristic protected by applicable law.

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