Ml engineering manager

Descompagnons Trabalho Temporário Lda; Almada; Híbrido; EUR 70 000 - 90 000; Tempo integral

Resumo da oferta

A leading technology firm in Almada, Setúbal is seeking an experienced Machine Learning Engineering Manager to lead a dynamic team. This role demands leadership in machine learning projects while fostering a collaborative and inclusive environment. The ideal candidate should have experience with ML deployment and team management. The company offers competitive benefits and a hybrid work arrangement, combining onsite connection with flexibility.

Serviços

Flexible working hours

Professional development funds

Choice of laptop and equipment

Premium Medical Insurance

Comfortable office setup

Qualificações

• Experience managing people across one or more teams, ideally in Internet-facing systems.
• Proven expertise in machine learning project delivery.
• Great communication skills, both written and verbal.
• Refined prioritization skills for impactful focus.
• Dedication to continual development.

Responsabilidades

• Lead a team of Machine Learning Engineers and Scientists.
• Collaborate with ML/AI leadership for software reliability.
• Recruit new team members effectively.
• Maintain quality 1:1s with team members.
• Ensure ML models are deployed reliably at scale.

Conhecimentos

Management experience

Delivery of machine learning projects

Expertise in NLP or Information Retrieval

Communication skills

Prioritization skills

Collaborative work ethic

Ferramentas

Python

Ruby

Scala

Java

AWS

PyTorch

TensorFlow

Kubernetes

Docker

Kafka

Descrição da oferta de emprego

ML Engineering Manager – Almada, Setubal, Portugal

Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (Airbnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.

The team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we’re passionate about empowering our customers.

We are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team. The team’s mission is both enabling knowledge creation through generative AI, as well as making the generated knowledge discoverable through information retrieval systems.

Responsibilities

• 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.
• Have quality 1:1s with your team members.
• Create a diverse and inclusive working environment where people can thrive.
• Oversee the end delivery of machine‑powered features, ensuring adherence to tier engineering practices.
• Ensure ML models are deployed reliably at scale, suitable cost, and with measurable quality.
• Work with Engineering, Product, Architects, and Tech Leads to keep the team’s roadmap aligned with company strategy and ship architecturally sound software at a regular cadence.

Qualifications

• Experience managing people across one or more teams, ideally working with large, distributed Internet‑facing systems.
• Proven expertise in managing the delivery of machine learning projects to production.
• Expertise in NLP or Information Retrieval is a big plus.
• Great communication skills, both written and verbal.
• Refined prioritization skills; you are able to focus your time and energy where it will have the most impact.
• A dedication to continual development.
• Collaborative, upbeat work ethic where you can take ownership and have fun.

Tech Stack

• Code is written in Python, Ruby, Scala, and Java.
• Servers live in AWS.
• Machine learning models rely on PyTorch and TensorFlow.
• ML pipelines use AWS Batch and EMR.
• Data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.
• Services are deployed to Kubernetes using Docker and use Kafka for processing.

Benefits

• Full ownership of the projects you work on.
• You will have a huge impact.
• Team of passionate people who love what they do.
• Interesting projects, ability to implement your own ideas and improvements.
• Opportunity to learn and grow.
• Flexible working hours.
• Professional development funds.
• Comfortable office and a remote setup.
• Choice of your laptop and other equipment.
• Premium Medical Insurance as well as Private Life Assurance.

Work Location

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.

Company Purpose

The intelligent heart of customer experience. Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees 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, 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.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any employment testing, or otherwise participate in the employee selection process, please send an email to [e-mail] with your specific accommodation request.