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Urgent! ML Engineering Manager - Local Job Opening in Lisbon
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.
Our 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.
As an ML Engineering Manager you are overseeing a cross-functional team that is responsible for end-to-end delivery of machine learning-powered features.
You will leverage your machine learning expertise to steer the team, while ensuring adherence to top-tier engineering practices.
You ensure that ML models are deployed reliably at scale, suitable cost, and with measurable quality.
You'll work with different partners (Engineering, Product, Architects and Tech Leads) to ensure your team's roadmap is aligned with company strategy and the team is shipping architecturally sound software at a regular cadence.
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.
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’ll have the most impact.
A dedication to continual self-development.
Collaborative, upbeat work ethic where you can take ownership and have fun.
Our code is written in Python, Ruby, Scala, and Java.
Our servers live in AWS.
Our machine learning models rely on PyTorch and Tensorflow.
Our ML pipelines use AWS Batch and EMR.
Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.
Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
Full ownership of the projects you work on.
What you will be doing 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.
#LI-AO1
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 in-office schedule is to be determined by the hiring manager.
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Unlock Your ML Engineering Potential: Insight & Career Growth Guide
Real-time ML Engineering Jobs Trends in Lisbon, Portugal (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Engineering in Lisbon, Portugal using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 227 jobs in Portugal and 76 jobs in Lisbon. This comprehensive analysis highlights market share and opportunities for professionals in ML Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Zendesk is currently hiring and seeking a ML Engineering Manager to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Engineering Manager Jobs Lisbon.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Engineering Manager Jobs Portugal varies, but the pay scale is rated "Standard" in Lisbon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Engineering Manager typically include Other Management Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Engineering Manager, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Engineering Manager interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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