Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Full Remote, Onsite
Job Summary
In this role, you develop comprehensive machine learning solutions by overseeing the entire ML lifecycle, from model development to deployment and monitoring while collaborating closely with your team.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
This text has been machine translated. Show original
What we offer
- 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.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Pennylane
As a French fintech startup, Pennylane offers an innovative cloud platform for accounting and financial management specifically designed for SMEs and tax advisors. The solution promotes real-time collaboration and integrates over 300 business applications.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Machine Learning Engineer
- Location
- Munich
- Working Model
- Full Remote, Onsite
- Diversity
- Open for all genders
