Data Scientist for Artificial Intelligence and Machine Learning

4 semanas atrás


Porto, Porto, Portugal Https:Www.Energyjobline.ComSitemap Tempo inteiro

Job Summary:

We are seeking an experienced Data Scientist to join our team in Portugal. As a key member of our Scrum team, you will design and implement machine learning and deep learning techniques that have a significant impact on our business.

About the Role:

  • Design and implement machine learning and deep learning models using Python programming (PySpark, pandas, numpy) and relevant technical skills like SQL or Bash scripting.
  • Facilitate the use of statistical data analysis and NLP to extract meaningful business insights.
  • Design data processing pipelines and identify automation use cases.
  • Manage the development of serverless applications with tasks ranging from database management to data delivery.
  • Elevate your expertise on state-of-the-art AI/ML cloud platform features such as infrastructure as a code, CI/CD pipelines, event-driven/serverless architecture, and separate processing pipelines for ETL, model training, and inference.
  • Work effectively in an agile setup, collaborating with cross-functional teams.

Your Profile:

To be successful in this role, you will need a university degree (M.Sc. or Ph.D.) in information technology, computer science, or a related technical field. You should also have first practical experience in machine learning, such as classical machine learning, deep learning models (e.g., decision trees, CNN, and LSTM), and relevant technical skills like PySpark, pandas, numpy, SQL, or Bash scripting. Additionally, you should have prior hands-on familiarity with databases (PostgreSQL, DynamoDB, MongoDB) and AWS, as well as tools like FastAPI, GraphQL. Proven ability to work effectively in an agile setup, collaborating with cross-functional teams is essential.

What We Offer:

We offer a competitive salary package including 25 days of vacation per year, great flexibility, and the possibility of mobile working thanks to our hybrid working model. Our company culture is open and diverse with flat hierarchies, a modern and appreciative working environment, and no formal dress code. We provide a wide range of training and development opportunities and support your personal development and growth through structured career paths.

Join Our Team:

As a part of our team, you will become a crucial part of our digital future. We are looking forward to receiving your application. Please note that we do not discriminate based on disability and encourage applications from people with disabilities. We are committed to creating a working environment free of prejudice and actively promote diversity and equal opportunities among employees.



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