Machine Learning Engineer

hace 1 mes


Centro, España Intelygenz A tiempo completo

At Intelygenz, we envision a future where processes accelerate performance. For the companies we work with, this means finding ways to optimize their data using cutting-edge technologies like AI-enabled automation. This mindset is a huge part of our culture. We thrive on pooling our skills, collaborating on projects, helping one another learn and creating innovations.

What are you going to do?

  • As a Machine Learning Engineer, your responsibilities will be:
  • Designing and implementing end-to-end inference pipelines.
  • Designing and implementing ETL pipelines for AI solutions deployed on production environments.
  • Designing and implementing Feedback Loop for AI solutions deployed on production environments.
  • Fine-tuning of ML and DL models for production purposes.

What will make you succeed in your role?

  • Wide experience working with GIT.
  • Minimum experience in deploying and maintaining ML models in production.
  • Minimum experience in working with Docker and/or Kubernetes.
  • Minimum experience working with different database types such as SQL, Document-oriented, Key-Value, and Time Series.
  • Minimum experience working with some event brokers such as Kafka, RabbitMQ, NATS...
  • Experience working with API frameworks.
  • Minimum experience working with Protobuf.
  • Data Architectures designed for exploiting and using Machine Learning techniques.
  • Modeling fine-tune for ML and DL algorithms.
  • Minimum experience using Python 3.8+ and PyTorch.
  • Some experience with GoLang.
  • High control of the different steps regarding the ML experiments to execute.
  • Fluent in English for day-to-day, customer meetings and reporting.
  • Strong self-taught and proactivity capabilities.
  • Problem-solving and autonomy when facing new challenges.

Bonus Points:

  • Experience working with Kubernetes.
  • Experience working with Graph databases.
  • Comfortable with TDD/ATDD.
  • Comfortable with fully automated CI/CD environments.
  • Other programming languages: Node.js, C/C++ or Java.
  • Desire to learn & constant curiosity.
  • Ability to adapt to different environments and projects.
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