Machine Learning Engineer Viseu

Machine Learning Engineer
Viseu
Viseu, Viseu District, 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 (MLOps/Dev
Ops) 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, towards
- time Digital Twins of the Ocean (DTO).

- 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, C/C++ 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

- Experience with robust MLOps and Dev
Ops pipelines.

- 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)

- 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)