Machine Learning Infrastructure Engineer
il y a 3 semaines
About Lenstra
We are looking for a talented Machine Learning Infrastructure Engineer to join our team in Paris. As a key member of our engineering team, you will work closely with Data Science and Machine Learning teams to design, build, and maintain the compute infrastructure on AWS used by data-scientists and applications.
The ideal candidate will have a strong background in Cloud Engineering, Data Engineering, and Machine Learning, with excellent analytical and problem-solving skills, and the ability to work effectively in a team environment.
In this role, you will be responsible for:
- Collaborating with Data Science and Machine Learning teams to identify requirements and build the next evolution of the data platform;
- Designing, building, maintaining, and monitoring the compute infrastructure on AWS;
- Developing, building, maintaining, and monitoring real-time data pipelines to continuously run inference in production;
- Improving the performance of data pipelines to handle the ingestion of large volumes of data daily;
- Establishing best practices and promoting them to the team;
- Monitoring and optimising AWS cloud costs and adopting a FinOps approach to build a cost-effective solution;
- Staying up to date with the latest technologies and tools in analytics engineering.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field;
- 3+ years of experience in Cloud Engineering, Data Engineering, Machine Learning, or related field;
- Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems;
- Strong communication and collaboration skills, with the ability to work in a team environment;
- Ability to manage multiple priorities and work effectively;
- Strong knowledge of AWS, Terraform, and Python;
- Familiarity with System Administration;
- Fluency in English and French.
What we offer:
- Onboarding programme shadowed by our CTO;
- Integration support into the client's team by one of our Co-Founder and a Team-Lead;
- Ramp up on the skills required both technical and non-technical;
- Wide variety of certifications proposed: DBT, AWS, Hashicorp, Snyk, etc.
- Great work-life balance;
- Perks like 100% of public transportation reimbursement, top private healthcare, meal vouchers, performance bonus.
Application process:
- An introductory call with the recruiter;
- A technical interview with our CTO;
- And an onsite behavioural interview with one of the partners.
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