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Senior Machine Learning Engineer (m/w/x)
Productionizing ML services on Databricks using Python, SQL, and Linux. Strong coding and problem-solving skills required. Flexible hours, mobile working, 30 days vacation.
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Anforderungen
- Problem-solving ability
- Enjoyment of technical challenges
- Keen eye for details
- Creative ideas
- Coding skills
- Machine Learning Engineering experience on Databricks
- Unity Catalogue experience
- Asset Bundles experience
- Workspace creation experience
- ML Flow experience
- Lakebase experience
- Python experience
- Comparable technologies experience
- Software Engineering experience
- High-level programming language experience
- Solid SQL understanding
- Relational databases experience
- Advanced Linux knowledge
- Advanced Operating Systems knowledge
- Spark Clusters creation, configuration, usage, debugging
- Strong problem-solving skills
- Ability to work independently
- Teamwork skills
- Good English communication skills
- Good English presentation skills
- Basic German skills
- Motivation
- Willingness to learn
- Development potential
Aufgaben
- Implement and productionize ML-based services on Databricks
- Use Python, SQL, and Linux for ML services
- Consult and enable cross-functional teams on big-data projects
- Consult and enable cross-functional teams on data-science projects
- Take over production responsibility for continuous business value
- Improve standard processes for services on our platform
- Improve standard processes for projects on our platform
- Improve best practices for services on our platform
- Improve best practices for projects on our platform
- Help reduce costs for services on our platform
- Help reduce costs for projects on our platform
- Write clean, maintainable, and efficient code
- Follow best practices and coding standards
- Perform unit testing and debugging
- Ensure high-quality software delivery
- Work with adjacent teams on governance topics
- Work with adjacent teams on infrastructure topics (AWS, GCP, Azure)
- Work with adjacent teams on data provisioning topics
- Work with adjacent teams on scheduling topics
- Work with adjacent teams on CI/CD topics
- Work with adjacent teams on data engineering topics
- Stay up-to-date with industry trends and technologies
- Apply industry trends and technologies to enhance software
- Apply industry trends and technologies to enhance service offerings
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Permanent employment contract
- Flexible working hours
- Mobile working
- 30 days of annual vacation
- Performance-based bonus
- Loyalty bonuses
- Modern work equipment
- Workation
- Sabbatical
- Comprehensive onboarding day
- Employee referral program
- Personalized training program
- Career and development programs
- Health and fitness programs
- Health days
- Company sports groups
- Running clubs
- Company health insurance
- Fresh fruit days
- Free hot and cold beverages
- Flat hierarchies
- Culture of appreciation
- Employee events
- Corporate benefits program
- Anniversary gifts
- Birth and wedding allowances
- Relocation cost reimbursement
- Company bike
- Public transport subsidy
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