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Adolf Würth GmbH & Co. KG
vor 2 Monaten

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

Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science

Beschreibung

In this role, you will tackle technical challenges by implementing ML services on Databricks, collaborating with teams to drive scalable projects, and continuously improving processes to deliver high-quality software solutions.

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Anforderungen

  • At least 2 years of experience in Machine Learning Engineering on Databricks
  • At least 5 years of experience in Software Engineering with one additional high-level programming language
  • Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
  • Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
  • Strong problem-solving skills and ability to work independently and in a team
  • Good communication and presentation skills in English and basic skills in German

Berufserfahrung

2 Jahre

Aufgaben

  • Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
  • Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
  • Take over production responsibility to ensure continuous business value
  • Improve standard processes and best practices for services and projects on the platform
  • Help reduce costs for services and projects
  • Write clean, maintainable, and efficient code following best practices and coding standards
  • Perform unit testing and debugging to ensure high-quality software delivery
  • Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
  • Work on CI/CD and data engineering topics
  • Stay up-to-date with industry trends and technologies to enhance software and service offerings

Tools & Technologien

DatabricksSQLHANAMS SQLMySQLLinuxSpark

Sprachen

Englischverhandlungssicher

DeutschGrundkenntnisse

Benefits

Flexibles Arbeiten

  • Flexible working hours

Boni & Prämien

  • Performance-based bonus
  • Loyalty bonuses
  • Employee referral program

Firmenwagen

  • Company car option

Sonstige Vorteile

  • Anniversary gifts

Sonstige Zulagen

  • Birth allowances
  • Wedding allowances
  • Relocation cost reimbursement

Mehr Urlaubstage

  • 30 days of annual vacation

Moderne Technikausstattung

  • Company smartphone
  • Modern work equipment

Workation & Sabbatical

  • Workation
  • Sabbatical

Mentoring & Coaching

  • Comprehensive onboarding

Weiterbildungsangebote

  • Personalized training program
  • Career and development programs

Gesundheits- & Fitnessangebote

  • Health and fitness programs
  • Health days
  • Company sports groups
  • Running clubs
  • Access to company health insurance

Gratis oder Vergünstigte Mahlzeiten

  • Fresh fruit days

Lockere Unternehmenskultur

  • Flat hierarchies
  • Culture of appreciation

Team Events & Ausflüge

  • Employee events

Mitarbeiterrabatte

  • Corporate benefits program

Snacks & Getränke

  • Free hot and cold beverages

Firmenfahrrad

  • Company bike

Öffi Tickets

  • Public transport subsidy
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Adolf Würth GmbH & Co. KG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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