We are currently looking for a

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

Responsibilities

• Implementation and production readiness of ML-based services on our AI and big data platform Databricks using Python, SQL and Linux.
• Advising and supporting cross-functional teams in setting up efficient and scalable big data and data science projects, as well as taking on production responsibility to ensure continuous business value.
• Improving standard processes and best practices for services and projects on our platform and helping to reduce costs for these.
• Write clean, maintainable, and efficient code following best practices and coding standards, and perform unit testing and debugging to ensure high quality software delivery.
• Collaborate with neighbouring teams on topics such as governance, infrastructure (on AWS, GCP, and Azure), data provisioning and planning, CI/CD, and data engineering.
• Staying up to date with relevant industry trends and technologies and applying them to improve our software and service offerings.

Qualifications

• 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 of experience working in software engineering with at least one additional high-level programming language.
• Have a solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL).
• Have advanced knowledge of Linux and operating systems and of 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 and presentation skills in English and at least basic skills in German.

Benefits

• 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
• Fresh fruit days, health days, company sports groups, and running clubs
• Career and development programs
• 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)

Reference: 25-1113

Location: Berlin or Waldzimmern/Würzburg

Workload: Full-time

Start: As soon as possible

Duration: Permanent

Type of contract: Permanent position

Could this position be of interest to you? If so, please email your current CV to anne.loth@secustaff.com. I am, of course, available at any time to answer questions or provide further information. Thank you and best regards,

Anne-Katrin Loth

Senior Recruitment Consultant | Team Lead

SECUSTAFF GmbH

Phone +49-4131-92777-30

anne.loth@secustaff.com

SECUSTAFF

Secure Staffing.

Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.