Engineering manager, machine learning

Descompagnons Trabalho Temporário Lda; Setúbal; Presencial; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

A leading technology company in Setúbal is seeking an experienced Engineering Manager for Machine Learning to lead a team of ML professionals. The ideal candidate will manage project lifecycles, improve software delivery, and foster an inclusive environment. Strong leadership skills and experience in managing machine learning projects are required. This position offers a hybrid work model, combining onsite and remote work flexibility.

Qualificações

• Proven expertise in managing large-scale, distributed systems.
• Experience with ML products and operations (MLOps) preferred.
• Familiarity with LLM evaluation and monitoring tools.

Responsabilidades

• Lead a team of Machine Learning Engineers and Scientists.
• Collaborate to improve software delivery and service reliability.
• Recruit new team members and facilitate the interview process.
• Create an inclusive working environment for team members.
• Contribute to team improvement and career development.

Conhecimentos

Experience managing people across teams

Leading machine learning projects to production

Phenomenal communication skills

Refined prioritization skills

Collaborative work ethic

Ferramentas

Python

Ruby

AWS

Pytorch

Airflow

Metaflow

SQL

DBT

Docker

Kubernetes

Descrição da oferta de emprego

Engineering Manager, Machine Learning

Setúbal, Pragal, Setúbal, Portugal

Job Description At Zendesk, our focus is helping our customers build great relationships with their customers. Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and inclusive 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

• Our code is written in Python and Ruby.
• Our servers live in AWS.
• Our local machine learning models rely on Pytorch.
• Our ML pipelines use Airflow and Metaflow.
• Our data is stored in S3, RDS MySQL and Snowflake.
• Our services and models are deployed to Kubernetes using Docker.
• Heavy usage of LLM technology from multiple providers.

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. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration – while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific office schedule is to be determined by the hiring manager.