Senior Machine Learning Engineer
Do you want to make a positive impact, work for one of the biggest dairy companies in the world and take an important role towards shaping our global data science community? Are you eager to optimize data science development cycles, ensuring the delivery of robust, scalable & maintainable machine learning & advanced analytics products and maximizing user satisfaction? Then we're looking for you.
As a Senior Machine Learning Engineer at FrieslandCampina, you will be part of the ambitious Global Data Science team within our Data & Analytics Cluster within IT. Data Science is a key discipline to enable our Data Driven Company strategy: Drive competitive advantage for Frieslandcampina by treating data as a strategic asset. Working closely with Product Owners and SMEs from Digital, Commerce, and Supply Chain functions and together with a team of talented data people (e.g. solution architects, analytics translators & data scientists) you will play a crucial role in this strategy.
Our team is behind many high impact projects within FrieslandCampina. From data-driven market analysis & forecasting to smart manufacturing and asset management. You will have the opportunity to enable new data product innovations for FrieslandCampina, like predicting product quality and optimizing material yield with AI. You will enable data projects throughout their entire lifecycle, from conceptualization & solution design through proof of concepts, to deployments in Production.
What we ask
Graduate or post-graduate degree (Master or PhD) in Computer Science or other relevant studies. 4-6+ years of relevant working experience.
Deep understanding of popular machine learning algorithms regarding their advantages and disadvantages, state-of-the-art applications, related mathematics and compatibility with different system architectures.
Has deep understanding DevOps and CI/CD and its applications towards machine learning deployment & operations lifecycle (MLOps).
Has knowledge in Azure or other cloud computation (eager to learn Azure), and relevant tooling (e.g. AzureML, Azure DevOps, ADF, Databricks)
Proven working experiences in programming languages (Python).
Can demonstrate ability to code in a robust, testable and maintainable manner in alignment with software design patterns & principles, as well as understand and review the code from other team members.
The ability to explain complex technical matters in an easy and enthusiastic way to multiple data stakeholders (e.g. citizen data scientists)
Experience as a Principal / Capability Lead is preferred
In addition to your technical toolkits, we'd like you to be skilled in collobrating with cross functional and cross platform teams within IT. Another a big bonus if you also have interests to mentor and be an ambassedour of your space and your generic components!
What we offer
Unique company culture of Dutch heritage and international presence.
Great work life balance, and competitive salary & benefits package.
Diverse training and mentoring programs to help you grow on your own professional journey.
Exceptional support via cross disciplinary data-driven programs within the company to broaden your knowledge and growth paths.
A friendly and informal working environment, yet professional team members as sparring partners.
Autonomy and trust to create longer term impact that helps bring better nutrition to the world.
Free cheese and milk at lunch in the central office and barista coffee to help you go through your working days with a lot of joy.
Scope of Work
Designs, implements and maintains general and/or project specific utilities (e.g., data science DevOps boilerplate templates, model evaluation & retraining toolkit, etc.) to optimize project development cycle & lead times.
Designs, implements and maintains general & project specific testing procedure to ensure the maintainability and robustness of data products.
Develops, optimizes and deploys ML and advanced analytics products in collaboration with data scientists and solution architects.
Extracts and builds generic components from common code across data science projects that is compatible and can maximally leverage designated infrastructure, as well as drives adoption thereof.
Provides technical consultancy regarding the adaption and optimization of machine learning algorithms, the design of data product system architecture and how they fit into each other.
Continuous Improvement & Solution Management
Seeks opportunity to continuously improve, extend and scale existing solutions based on technical knowledge, best practices and users’ feedbacks.
Pro-actively shares best practice, ideas and insights across the team to inspire change towards a true MLOps operating model, enabling continuous deployment and -integration.
Active participant in D&A project development sprints as Machine Learning Engineer to design utilities, develop data product and deliver automation.
Active contributor in D&A DevOps community to extract general and scalable services at platform level (via InnerSourcing). For example, by enriching & configuring Data Engineering Generic Components (owned by Data Engineering Capability Lead).
For thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are.
We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world.