Machine Learning Engineer in Madrid or Remote

Nextail

Workplace
Remote
Hours
Full-Time
Internship
No
Share offer

Job Description

We’re looking to add an experienced ML Engineer to our Data Science team. This new team member will be instrumental in leading and developing data science solutions from the idea to maturity as we continue to make the retail world a better, more sustainable place.

At Nextail, we empower retailers to create better experiences while using fewer of the world's resources. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we’re backed by more than $12M in funding from leading venture capital investors and are working with global retailers like Versace, River Island, and Pepe Jeans.

Data Engineer/ML Engineer at Nextail:


The goal of the Data Science teams is to multiply the impact of our product on the business. Data Science Techniques, AI, ML, Optimisation, Simulation, Visualization, are the tools we always have at hand when we face a problem, but we will never use them in vain. We work together with Product Managers, Developers, Data Scientists, ML Engineers, Data Engineers, and Business Experts to solve the end-to-end problem.

Our job is not finished when the model and the end to end solution is in production, or after the change management and operational details are closed, not even when we have strong evidence that the solution is solving the user problem and she is satisfied because after that we continue monitoring our models.

The discussion between pairs, working together, challenging each other, is the fastest way to solve a problem and to grow as a Machine Learning Engineer. We have a culture of sharing, transparency, meritocracy, caring, and trusting each other.


You will:

  • Participate in the development, deployment, and maintenance of the multiple Machine Learning models they are working with.

  • Help to instrument the different models that the squad creates, to collect metrics and usage statistics.

  • Influence the whole model production flow, and take part in its improvement process.

  • Encourage good technical practices in the squad.

  • Work closely with the Data Science team, helping in the design of their models to ensure they are scalable.

We offer:

  • High flexibility: We’re strong believers that what matters most are results. Each Nextailer is empowered, through trust and ownership, to organize their time as they see fit without jeopardizing the time or work of their colleagues.

  • Remote-first philosophy: Nextail started as a remote company and continues to offer a nice mix of remote and/or office-based environments around the world.

  • International environment: We operate across the globe, with recent operations reaching from Europe all the way to Australia, and our team alone consists of professionals of more than 15 different nationalities. While many of us are multilingual, our working language is English.

  • Diversity on all levels: United as a single team, we celebrate diversity at every dimension*. Professionally speaking, are you ready to work alongside tech geniuses, data science magicians, and fashionistas? You’ll have teammates with extensive experience in a wide variety of professional fields, including technology, retail, consulting, and entrepreneurship.

  • The laptop of your choice: We want you to work with the tools that are most comfortable for you!

  • Flexible compensation plan: We offer a fixed + variable salary as well as company equity as we progress towards our Series B fundraising round.


Requirements

  • Practical experience with complex ETL processes.

  • Theoretical and practical experience building pipelines for Data Science teams.

  • Experience implementing mathematical algorithms or complex computations.

  • Experience scaling algorithms.

  • Professional experience with AWS or Google Cloud or Azure.

  • Strong experience with large analytical and transactional databases.

  • Experience with software monitoring tools.

  • Experience with model monitoring and model saving tools.

  • Experience with model productization tools (API rest, AWS Sagemaker, Docker, etc).

  • Experience deploying models as code.

*Nextail is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status

 

About Nextail

  • Saa S

  • Madrid, Spain

  • 50-200

  • 2014

.

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