A career at our company is an ongoing journey of discovery: our 57,000 people are shaping how the world lives, works and plays through next generation advancements in healthcare, life science and performance materials. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.
Your role: Merck Life Science's Analytics Center of Excellence is searching for a Lead Machine Learning Engineer to join our Data Science Team to strengthen our Machine Learning enablement & scaling capabilities. As a strong software leader and an expert in building complex systems the candidate is expected to bring industry experience working on a range of implementations (from PoC to production) of various machine learning applications. The position will involve the creation and continuous improvement of Machine Learning prototyping and dev-ops environments. The engineer will support and collaborate with our Data Science team as well as other data & analytics functions within ACE, specifically regarding software engineering and architecture best practices. In addition, the engineer will lead the development of novel, highly scalable ML execution architectures. The candidate is expected to take on technical leader- and mentorship regarding the further development and usage of our data & analytics platform as well as co-represent ACE on platform and ML-execution topics to internal and external stakeholders, senior management as well as in company-wide data and analytics strategy processes. The candidate will be bridging the gap between data science & software engineering/architecture, and functioning with deep expertise in both worlds. He will ensure that ACE can deliver ML solutions to all areas of the Life Science business at scale.
Who you are
* Masters degree or PhD in computer science (or in a highly related area)
* 5+ years of experience in algorithms, data structures, software architectures and object-oriented programming
* Good understanding of machine learning fundamentals and deep learning
* Implementation experience in machine learning algorithms and applications
* Experience / Strategic mindset regarding data & analytics platforms / ecosystems
* Strong programming skills in Python is a must, Java, SQL, R are a bonus
* Strong skills in parallel processing technologies and languages: Spark, (Hadoop)
* Experience with Python applied to machine learning: Pandas, Numpy, Scikit-learn, (Scipy)
* Strong Experience in Cloud / Hyperscaler architecture, implementation and infrastructure automation: AWS/GCP/Azure
* Strong Experience in Merck Life Science Data Lake powered by Palantir Foundry is highly beneficial
* Delivering software professionally & DevOps: Git, Docker, Kubernetes
* Building REST APIs with state-of-the-art python frameworks to productionize ML deployments
* Knowledge of relational database management: SQL
* Experience in handling data and integrating from/to ERP & CRM systems: Salesforce, SAP
What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!
Curious? Apply and find more information at https://jobs.vibrantm.com