Senior Machine Learing Engineer on Databricks (m/w/d)

Senior Machine Learning Engineer on Databricks (m/w/d)

5 days ago – Be among the first 25 applicants

Let’s do IT! You usually find a solution to every problem? 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.

Responsibilities

• 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.

Skills

• 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.
• 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.

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 company car option
• Company smartphone 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

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Schweinfurt, Bavaria, Germany