Senior Machine Learning Engineer (m/w/d)

Let’s do IT! You Usually Find a Solution To Every Problem? Or Do The Solutions Even Find You? Either Way — You Enjoy Tackling Technical Challenges, Have a Keen Eye For Details, And Bring Creative Ideas To The Table? Then We’ve Got Some Exciting Tasks Waiting For You. You

• implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux.

• consult and enable cross functional teams to build efficient and scalable big-data- and data-science-projects and take over production responsibility to ensure continuous business value.

• improve standard processes and best practices for services and projects on our platform and help to reduce costs for them.

• write clean, maintainable, and efficient code following best practices and coding standards and perform unit testing and debugging to ensure high-quality software delivery.

• work with adjacent teams on topics such as governance, infrastructure (on AWS, GCP and Azure), data provisioning and scheduling, CI/CD and data engineering.

• stay up-to-date with related industry trends and technologies, and apply them to enhance our software and service offerings.

Bring IT on!

Skills

You make the keys smoke when you code? Perfect — we’ve got solid equipment waiting for you, so you can bring your skills to the team. You:

• have at least 2+ years of experience in Machine Learning Engineering on Databricks, including experience with Unity Catalogue, Asset Bundles, Workspace creation, ML Flow, Lakebase and Python or comparable technologies.

• have at least 5+ years experience in working in Software Engineering with at least one additional high level programming language.

• have solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL).

• have advanced knowledge about Linux and Operating Systems and about creating, configuring, using and debugging Spark Clusters.

• offer strong problem-solving skills and the ability to work independently as well as part of a team.

• have good communication & presentation skills in English and at least basic skills in German.

Get IT and be happy! In addition to ever-new keyboards, a great team, and a secure workplace, we offer you a wide range of benefits:

• Permanent employment contract

• Flexible working hours and mobile working (usually 3 days per week)

• 30 days of annual vacation (full-time; pro rata for part-time)

• Performance-based bonus and modern work equipment

• Workation (up to 30 days per year in selected countries)

• Sabbatical (after 3 years of employment)

• Comprehensive onboarding day and personalized training program

• Health and fitness programs (Wellpass, 7Mind, Lifesum, "Fit with Würth")

• Fresh fruit days, health days, company sports groups, and running clubs

• Career and development programs (e.g. via Würth Academy)

• Flat hierarchies and a culture of appreciation

• Employee events and corporate benefits program

• Free hot and cold beverages at most locations

• Employee referral program ("Employees recruit employees")

• Loyalty bonuses, anniversary gifts, birth and wedding allowances

• Relocation cost reimbursement (under certain conditions)

• JobRad (company bike) and JobTicket (public transport subsidy)

• Access to Würth company health insurance