Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Full Remote, Onsite
Job Zusammenfassung
In diesem Job entwickelst du umfassende Machine Learning Lösungen, indem du den gesamten ML-Zyklus von der Modellentwicklung bis zur Bereitstellung und Überwachung betreust, während du eng mit deinem Team zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- As a Senior Machine Learning Engineer, you will be part of the Machine Learning team (10+ people), inside the Data department (50+ people).
- You will design machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring.
- You will contribute to all parts of our Data Platform, from data ingestion and validation to transport, storage and exposure to consumers, in order to feed machine learning applications in production.
- You will work closely with fellow Machine Learning Engineers and Data Engineers to improve our ecosystem and enable a variety of ML applications.
- You will collaborate with Product teams to explore new possibilities and make sure that fulfilling user needs is always at the center of what we do.
Unsere Erwartungen an dich
Qualifikationen
- You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
- You will be comfortable with our technical stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker).
- You will contribute to larger cross-team projects.
- You will proactively contribute to the team's roadmap.
- You will work with engineers and data practitioners on improving our stack and data platform.
- You will share your learnings and best practices within the team.
- Opportunities to recruit and mentor new team members.
- Increased accountability in project leadership.
- Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.
Unser Angebot
- You will learn everything about our company, our teams, and our vision during the first onboarding week.
- You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.
- You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Pennylane
Als französisches Fintech-Startup bietet Pennylane eine innovative Cloud-Plattform für Buchhaltung und Finanzmanagement, die speziell für KMU und Steuerberater entwickelt wurde. Die Lösung fördert die Zusammenarbeit in Echtzeit und integriert über 300 Geschäftsanwendungen.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Machine Learning Engineer
- Ort
- München
- Arbeitsmodell
- Full Remote, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
