Stellenbeschreibung
We are seeking an experienced Machine Learning Engineer who will design, implement and operate ML solutions on the Databricks Big Data platform, support teams across the organization, and bring a strong software engineering background as well as excellent English skills.
Ready to create impact? With us, you will actively shape the future of Data & AI.
In this role, you will:
* Develop and deploy ML-based services on our Databricks platform
* Primarily work with technologies such as Python, SQL and Linux
* Support teams from various business units in successfully building and implementing scalable Big Data and Data Science solutions
* Optimize processes and standard procedures on the platform – with the goal of increasing quality and reducing costs
* Write performant, well-structured code – including unit tests and debugging to ensure high software quality
* Work closely with experts from other IT and business functions, e.g. in the areas of cloud infrastructure (AWS, GCP, Azure), master data, data engineering and continuous integration/continuous delivery
* Incorporate new trends and technologies into your project work in order to continuously enhance our solutions
You should have an excellent command of English, both written and spoken, and be able to communicate in German at around A2 level.
Enjoy a performance-related bonus scheme, workation options, company car option, smartphone and a modern working environment at a financially stable, crisis-proof company.
Our client guarantees comprehensive onboarding and individual training opportunities. Health and fitness programs as well as a variety of employee events are also part of the familiar, medium-sized corporate culture.
You can choose between several locations: Berlin, Würzburg and the Heilbronn–Schwäbisch Hall region, combined with 3–4 days of mobile/remote work per week.
If you live outside the specified regions and bring substantial experience to the role, you may alternatively work on-site either one day per week or in blocks of 3–4 consecutive days per month.
Arbeitgeber
As the internal IT organization of a globally active industrial company, our client is driving the digitalization and automation of the group forward.
This IT division is responsible for providing and further developing IT infrastructures, data and cloud platforms, as well as digital solutions for all business units.
With its international orientation and the use of state-of-the-art technologies, the company offers experts the opportunity to design high-impact solutions and actively shape the digital transformation within a stable and economically successful corporate environment.
Ausbildung
A successfully completed degree in Computer Science (or a related field),
or a completed IT-related vocational training that provides an equivalent level of knowledge.
Kenntnisse
* Very good skills in software development with at least one high-level programming language (e.g. Python, Java, Scala or similar)
* Ideally, experience with Unity Catalogue, Asset Bundles, workspace creation, MLflow, Lakebase
* Good knowledge of SQL & databases and experience with relational databases (e.g. HANA, MS SQL, MySQL)
* Advanced knowledge of Linux / operating systems, including configuration, usage and troubleshooting
* Strong analytical skills and the ability to solve problems independently
* You enjoy working independently and responsibly within a team structure
* You have good communication and presentation skills and are able to convey technical concepts appropriately to different target audiences
Erfahrungen
* At least 2 years of professional experience in Machine Learning Engineering on Databricks
* Experience in building efficient and scalable Big Data and Data Science projects
* Experience in the productive operation of ML/Data services
* Experience in process optimization, improving standard processes and best practices
* Experience in developing clean, maintainable and efficient code according to best practices, including unit testing and debugging
* Experience working in cross-functional teams
Standort
You can choose your primary work location between Berlin, Würzburg or the Heilbronn–Schwäbisch Hall Region, combined with approximately 3–4 days of home office per week.
If you are an experienced engineer and live outside these regions, you also have the option to work on-site 3–4 consecutive days per month.