Engineering manager, machine learning

Descompagnons Trabalho Temporário Lda; Almada; Híbrido; EUR 50 000 - 80 000; Tempo integral

Resumo da oferta

A leading software company in Almada, Portugal is seeking an Engineering Manager specialized in Machine Learning. The successful candidate will lead a team to deliver AI/ML features, enhancing customer relationships and advocating for a collaborative work environment. Applicants should have significant experience managing ML projects, exceptional communication skills, and a strong passion for development. This role features a hybrid work model, combining onsite and remote work flexibility.

Qualificações

• Experience managing people across teams, ideally with large Internet-facing systems.
• Proven expertise in leading ML project delivery to production.
• Excellent written and verbal communication skills.
• Strong prioritization skills for making impactful decisions.
• Commitment to continuous development.

Responsabilidades

• Lead a team of Machine Learning Engineers and Scientists.
• Collaborate to improve software delivery and service reliability.
• Recruit new team members and facilitate interviews.
• Create an inclusive working environment.
• Support continuous improvement and career development.

Conhecimentos

Leadership

Machine Learning Expertise

Communication Skills

Prioritization

Collaborative Work Ethic

Ferramentas

Python

Ruby

AWS

Pytorch

Docker

SQL

Airflow

Metaflow

Descrição da oferta de emprego

Engineering Manager, Machine Learning - Almada, Setubal, 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 earth 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.

Hybrid Work

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.

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.

By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the right you can exercise over Zendesk’s use of your personal information.