Machine Learning Engineer Madrid
We’re looking for Machine Learning Engineers to bring their expertise to some great projects, learn in a friendly, collaborative environment, and innovate with us.
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.
Madrid
Workplace and Culture_
At Intelygenz we know the true heroes are our people, and that is how we have built our culture. Flexible schedule, hybrid working policy and never-stop learning programs are part of our daily basis.
Intelygenz is a hybrid company and we are used to work from different cities in the world. You can choose to work from home or attend our Madrid(Spain) or San Francisco (USA) headquarters whenever you feel like it.
Also, we take socialization very seriously, so we're also specialists in having fun together, no matter where we are! From casual after works to Big Events - Carnaval, MastercheZ, Anniversary -, we have tons of opportunities to get to know our colleagues.
Madrid
Machine Learning Engineer
We’re looking for Machine Learning Engineers to bring their expertise to some great projects, learn in a friendly, collaborative environment, and innovate with us.
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