Machine Learning Engineer Lisboa

Machine Learning Engineer
Lisboa
Lisboa, Lisboa, Portugal

Company

blue
OASIS is a young and growing company focusing on developing sustainable solutions for the blue economy. blue
OASIS is working on four scopes: numerical analysis for offshore renewables and ships, underwater acoustics, smart ocean modelling and monitoring, and digital twining. Our team is growing and looking for an expert in AI/ML development with solid programming skills to contribute to our mission.

Role description

We are looking for a Machine Learning Engineer to join our team and drive innovation in marine and environmental technologies. Responsibilities include:

• The collection, processing, and augmentation of acoustic datasets, as well as the simulation and modelling of physical environments, and computer vision tasks.

• Designing, training, and deploying machine learning models using well established machine learning practices for applications in underwater acoustics, physical simulations, and computer vision.

• Applying signal processing techniques (e. g. audio, image) to solve complex challenges.

• Collaboration across teams to integrate ML solutions in
- world deployments for oceanographic and environmental monitoring systems.

• Assist in implementing robust pipelines for data processing and MLOps to streamline workflows and ensure reproducibility.

• Researching and experimenting with
-
-
- art AI and ML techniques for application in the blue economy.

Expertise needed

• MSc or Ph
D in relevant background (Artificial Intelligence, Physics, Bioacoustics, Computer Science, Mechanical Engineering)

• Proficiency in Python and used to version control systems (Git)

• Able to work on the
- line interface (CLI) for remote computing

• Confident using data analysis libraries such as Pandas, Num
Py, Matplotlib, Sci
Py, Scikit-learn, etc.

• 3+ years of experience developing AI/ML models using frameworks like Py
Torch, Tensor
Flow, or Keras

• In-depth knowledge and proven experience of working with deep learning models

• Proven experience of working with supervised and unsupervised learning techniques

• Relevant background to the role description

• Solid understanding of signal processing principles and techniques

• Fluency in English, with strong written and verbal communication skills

Added value (some of these skills are a plus)

• Experience with audio signal processing using tools like Librosa and Pydub

• Familiarity with
- performance computing (HPC) environments and Linux systems

• Familiarity with prompt engineering and working with large language models (LLMs)

• Good knowledge of atmospheric or underwater acoustics

• Experience with ocean modelling tools (current / wave simulation) or weather forecasting tools

• Programming experience in C/C++ for
- critical applications

• Experience with Physics-Informed Neural Networks (PINNs) or related techniques

• A strong commitment to Ocean sustainability and Security

General conditions

• Work in Ericeira office

• 3 days minimum per week in the office, ideally 4/5

• Some flexibility with temporary remote work

• 40h work week

• 1 year contract with trial period

• 23 days of vacation

• Salary range depending on experience (2000€ up to 3000€ gross per month, 14 salaries per year)

• Food allowance of 10. 20Euros per working day (estimated 222Euro net per month, x11 per year)

• Private health insurance

• Public transportation pass for Lisbon area (Navegante Metropolitano)

• Traveling allowance provided for trips between Ericeira and Faial (our offices)