Data Scientist/ Machine Learning Scientist
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 A.I.-enabled automation.
To achieve this vision, we need the brightest people in business, tech, and analytics – working together to deliver groundbreaking solutions that transform how businesses work. We’re on a continuous journey to build this dream team and are always looking for talented people that share our goals and passion for technology.
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. If you join our team, you’ll be working alongside highly-skilled tech lovers with a multitude of different specialisms. Outside of our projects, we host training, events, retreats, and the occasional happy hour – all of which are a huge part of life at Intelygenz.
We’re looking for a Machine Learning Engineer to bring their expertise to some great projects, learn in a friendly, collaborative environment, and innovate with us.
What are you going to do :
Design and implement end-to-end data pipelines. This design implies working with advanced ETL techniques and data architectures according to the project and the customer needs
It is expected that the Machine Learning engineer has enough knowledge/experience regarding the implementation of models for both traditional and advanced ML and DL architectures.
You will be part of an agile team of amazing developers. and even better people!
Quality is a must for us.
Continuous integration, test, and delivery are part of our DNA
Designing and implementation of end-to-end inference pipelines.
Designing and implementing of ETL pipelines for AI solutions deployed in production environments.
Designing and implementation of Feedback Loop for AI solutions deployed on production environments.
Fine-tuning of ML and DL models for production purposes.
Wide experience of 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 databases types such as SQL, Document-oriented, Key-Value, 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-tunes for ML and DL algorithms.
Minimum experience of 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.
A Plus if you Have:
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.
- Flexible working hours for a real work-life balance
- 100% freedom to work from anywhere you’d like - from your home, our office, or even from a tropical island!
- Specific career plans for horizontal and vertical growth. Let your motivations do the talking!
- Mentoring to help you grow in your career
- Teamwork and feedback culture
- English and Spanish language classes with up to 60% of costs covered by us
- Plenty of happy hours, retreats and events with us (post-Covid)
- One hour per week to take part in continuous tech training programs with your co-workers
- Access to physical and mental wellness initiatives
- 50% health insurance coverage
- Flexible retribution for transport, kindergarten, and restaurant meals
- A free Intelygenz t-shirt every anniversary
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