MLOps Engineer

hace 1 semana

Barcelona, Barcelona, España SeQura A tiempo completo

About seQura

We provide innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. Our unique risk scoring capabilities allow us to give access to credit to many shoppers that otherwise would be left out, providing the highest acceptance rates for flexible payments in the market. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique context and needs and deliver superior results.
We also empower shoppers who seek value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech in the scaleup phase. Present in southern Europe and Latin America, we are growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 2 million shoppers, and 300+ employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

What you'll do

  • Design and implement cloud solutions, build MLOps on AWS cloud.
  • Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
  • Data science models testing, validation and tests automation.
  • Communicate with a team of data scientists, data engineers and business leads, document the processes.

What we offer

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.

One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

  • 23 vacation days + 2 days of free disposal per year.
  • Professional development that includes access to a language learning platform with courses available for 24 languages, including both group and private classes.
  • Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
  • Health insurance discounts with Sanitas and DKV
  • Hybrid work from Barcelona or remote work from Spain or other EU countries
  • Flexible working hours
  • A personal budget for professional development
  • Office workshops and meet-ups to encourage community participation and career growth

Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.

What you'll need:

  • Bachelor's degree in Computer Science, Software Engineering, Physics, or related field.
  • Proven experience in designing and implementing cloud solutions and ability to building MLOps pipelines on AWS.
  • Proven experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
  • Programming languages like Python, Pyspark, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
  • Ability to understand tolls used by data scientists and of ML&AI techniques.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.

Which are the next steps?

  1. Interview with People Team
  2. Technical interview
  3. Technical assessment
  4. Meet the team

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