Job description

We have an exciting opportunity for a Senior MLOps position within our Digital Engineering team. As a key member of our team, you will play a significant role in building data and analytics platforms to our clients. Our newly built Digital Engineering team is highly focused on Cloud, Software, Data and, AI engineering and is experiencing rapid growth within our organization.

The opportunity - What future are you building towards?

By joining this dynamic team, you will have the opportunity to contribute to cutting-edge projects and play a key role in driving the success of our clients, particularly within the financial sector. Our goal is to become the go-to end-to-end technology partner for the largest financial institutions and organizations, positioning ourselves on the speed dial of decision-makers in the industry. Utilize your expertise and collaborate with global teams as you work on impactful projects and play a crucial role in solving complex challenges. In this position you will be responsible for developing, deploying, and maintaining machine learning platforms.

Our team - Do great minds always think alike?

The Digital Engineering team specializes in delivering innovative data governance solutions. Leveraging cloud technology and software engineering, we empower financial institutions with cutting-edge digital transformation and seamless data management.

The office

Our office in Amsterdam is located on the Zuidas: a bustling area where many companies are based. In our Cross Towers, as many as 1000 people are welcomed daily. Haven't had breakfast yet? Then a special smoothie will be made for you or simply a delicious cappuccino. During lunchtime, the team is ready to serve you a fresh lunch. For a breathtaking view of Amsterdam, head to the 22nd floor. Collaboration takes on a new meaning through the Wavespace. This high-tech environment brings together clients and colleagues virtually worldwide!

Responsibilities – How can you make a lasting impact in a rapidly changing world?

Develop and maintain the infrastructure required to deploy machine learning models at scale.
Ensure that AI models are seamlessly integrated into the existing production systems.
Automate the deployment process to enable continuous delivery of ML models.
Implement end-to-end automation of the machine learning pipeline, from data collection to model training and deployment.
Automation and CI/CD: Implement automation in data pipelines and deploy infrastructure as code (IaC) to support continuous integration and delivery.

Job requirements – Where do you start if you want to change the world?

Master’s degree in computer science or related field.
Minimum of 5 years' experience in similar role.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with cloud platforms like Azure, AWS, or Google Cloud Platform, with a strong understanding of cloud-native services.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of DevOps principles and technologies (e.g., Docker, Kubernetes, CI/CD pipelines)

Already interested? Apply now!

What we offer – Is everything that counts being counted?

- Vitality: the choice is yours. An online session with an external vitality coach, practical tips on topics such as nutrition, energy, sleep, and mindset and/or a voucher card to rent a padel court.
- Flexible working: you decide where and when you work in consultation with your team. At home, at the office, at the client or from another European country (up to 20 working days per year).
- Home office arrangement: to optimally set up your home office, EY has the following resources available for you: office chair, sit/stand desk, external monitor, desk lamp, (Bluetooth) headset and a large external keyboard.
- Laptop and smartphone: you are entitled to a laptop and smartphone with a business subscription.
- Salary: in addition to your fixed salary, depending on EY's financial performance, you may be eligible for a bonus. You are also entitled to an expense allowance (depending on the function) and an internet allowance of €40 net per month.
- Time off: you are entitled to 29 vacation days per year when full-time employed.
- Sabbatical: the option to take unpaid leave after consultation.
- Birth leave: EY will pay 100% of the birth leave, in case of an additional birth leave EY will pay 70% of the salary.
- Training and education: EY believes it's important for everyone to always have the opportunity to further develop yourself. We therefore offer you the opportunity to take part in various soft & hard skills training, external courses and/or sign up for an additional education. For example, obtaining an MBA to broaden your skills in Leadership, Business and Tech.
- Mobility: Contribute directly to our ambition to reduce EY's carbon footprint to zero by 2025. With the new scheme you choose the most diverse sustainable options via the EY My Daily Travel app or online environment. Think of the use of lease bicycles, electric shared scooters, electric shared cars, flexible lease cars and various subscriptions for public transport. You can also view your CO2 footprint via the app.
- Bicycle arrangement: finance the purchase cost of your new bicycle from your gross monthly salary (purchase cost amount divided over 12 months) or from your non-statutory holiday entitlement.
- Pension scheme: you will build up a pension capital directly after your start at EY. Each month the available premium amount is transferred for you in an investment account at our pension provider. You will also have the option to build up additional pension capital on a voluntary basis.

For more information about our employment terms, visit our page here.

Recruitment procedure – How can you prepare for a long life together?

2 interviews and an online assessment

AI
We support the use of AI tools in applications, such as ChatGPT, recognizing its inevitability in today's job market. However, we would love to see a dose of your personality in your application. Blend AI assistance with your unique style, allowing us to truly get to know the authentic you, not just the AI-generated version.

Pre-employment screening
Due to laws and regulations, and because EY (and in some cases its clients) has high demands on the reliability and integrity of its employees, every new employee will be screened. Depending on your rank the pre-employment screening could contain the following: Certificate of Conduct (in Dutch: VOG) or - if requesting a Dutch VOG is not possible - Criminal Background Check of the country you are currently living or have lived during the last five years, integrity questionnaire, verification of ID, diploma’s and/or work experience and consultation of the Dutch insolvency registry.