Aquaticode is looking for an AI Engineer to design and implement machine learning algorithms that solve challenging problems in aquaculture. This role is key for moving inventive solutions from proof of concept to working prototypes, requiring a commitment to creativity and building real-world solutions that benefit humanity.

What You'll Do

Design, adapt, and implement machine learning and classical algorithms from proof of concept to working prototypes.
Plan and conduct experiments to address critical business questions.
Develop and maintain model testing and statistical verification processes.
Implement data processing and training pipelines.
Extend existing machine learning and deep learning codebases and frameworks.
Thoroughly document proofs of concept and experiments.
Plan and lead long-term research activities.
Assist in recruiting talent in the field.
Stay up-to-date with the latest developments in AI and machine learning.

What We're Looking For

Proven track record in developing image/video processing and computer vision solutions.
3+ years of experience as a machine learning engineer/researcher or in a similar role.
Proficiency with common Python machine learning frameworks (scikit-learn, SciPy, Matplotlib, PyTorch, etc.).
Strong understanding of data structures, data modeling, and software architecture.
Ability to write clean, robust, and efficient code.
Excellent communication and presentation skills in English.
MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Candidates with a B.Sc. degree and equivalent industrial experience are also encouraged to apply.

Nice to Have

A track record of publications in top-tier AI conferences or journals.
Experience deploying machine learning/AI systems in production environments.
Familiarity with containerization technologies (e.g., Docker).
Knowledge of databases (SQL, MongoDB) and basic networking or message-passing protocols.
Experience with cloud platforms (Google Cloud Platform, AWS, Azure).
Proficiency with MLOps frameworks (DVC, MLflow, Metaflow, Databricks).
Familiarity with CI/CD tools (Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, or similar).