Senior Machine Learning Engineer
Role details
Job location
Tech stack
Job description
By joining us as a Senior Machine Learning Engineer, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards., 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., * 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.
Within 3 months:
- You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
- You will be confortable with our technical stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker).
- You will contribute to larger cross-team projects.
Within 6 months:
- 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.
And beyond: the data team will continue growing with the company
Which means:
- 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., * A case study interview to discuss a topic closely related to one of our priorities (75 min)
- A past project interview to hear about your experience (60 min)
- An interview with our Tech & Product leaders to discuss our company culture
Données personnelles
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Requirements
Do you have experience in Redshift?, Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles aligned with your vision? Then Pennylane is the right place for you!