Job Description
and Responsibilities:
is seeking a talented Junior ML Scientist to join our dynamic and multidisciplinary team within the group. In this role, you will be at the forefront of technological innovation, working on applied research projects that bridge the gap between cutting-edge research and real-world impact. You will contribute to initiatives that enhance industries, promote social well-being, and improve quality of life.
Your role:
Develop advanced anomaly detection and forecasting modules to analyse financial time series, identify risks and provide strategic insights based on historical data trends.
Your profile:
Academic Qualifications:
- Master's degree or equivalent qualifications in Computer Science, Electrical and Computer Engineering, Data science, Artificial Intelligence or related studies.
Technical Skills:
- Programming proficiency in Python and experience with machine learning frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);
- Interest in creating machine learning models from time series.
Other skills:
- Excellent English communication skills (technical and general audiences);
- Capacity to translate research findings into actionable insights for real-world applications.
We value:
- Familiarity with machine learning for tabular data and time series;
- Experience or interest in forecasting;
- Interest in applied research in AI and ML;
- Ability to work effectively in multidisciplinary and cross-functional teams;
- Autonomous, dependable, proactive, and a critical-thinking team player.
Why should you join Fraunhofer Portugal:
- Innovative Environment: Be part of a people-centric workplace that fosters creativity and out-of-the-box thinking. We encourage the development of new ideas and ensure that every voice is heard;
- Research with Impact: Engage in projects that sit at the intersection of research and real-world applications, contributing to technology that makes a tangible difference in society;
- Multidisciplinary Teams: Collaborate with professionals from diverse backgrounds, enhancing your learning and professional growth;
- Professional Excellence: Work within a culture that upholds professional standards and best practices, promoting continuous improvement and excellence in research;
- Flexible Work Arrangements: Benefit from flexible working hours and opportunities to work from home, supporting a healthy work-life balance;
- Comprehensive Benefits: Benefit from a partially funded health insurance plan, and a variety of additional perks;
- Supportive Culture: Join a team with an excellent spirit, where collaboration, mutual support, and team achievements are celebrated.