Lisbon, Portugal

Machine Learning Engineer

 Job Description:

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

Who you are:

- 3+ years of experience in machine learning, data science, or a related field, with a strong emphasis on model development and deployment in production environments.

- Proficiency in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.

- Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.

- Experience with cloud platforms (preferably Azure) and containerization tools like Docker and Kubernetes.

- Familiarity with big data tools and frameworks (Hadoop, Spark, etc.) and experience working with relational and NoSQL databases.

- Experience with data integration projects and bringing together multiple data sources into a cohesive service.

- Ability to work autonomously in an effective manner.

- Fluency in Portuguese and English is mandatory;

- Remote work model.

Nice to have:

- Experience with MLOps practices and tools for model versioning, monitoring, and automated deployment.

- Experience with time series forecasting, computer vision, or other specialized domains.

- Experience with JVM languages.


What youll get:

- An inspiring work environment

- Allocation of health insurance from the beginning of the employment ;

- Delivery of work equipment adjusted to the performance of functions;

- Implementation of a hybrid work regime whenever possible;

- Payment of the food allowance in meal card (exempt from legal discounts);

- And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!

  Required Skills:

Machine Learning