AI Resume Builder
JOIN NOW Post Job
Nacre Capital
AI

AI Engineer

Nacre Capital · En remoto, ES

Actively hiring Posted 4 months ago

Responsibilities

  • Design, adapt, and implement machine learning and classical algorithms from proof of concept (POC) 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 POCs 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.

Basic qualifications

  • 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.
  • 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).

About the company

Aquaticode builds artificial intelligence solutions for aquaculture. Our core competency lies at the intersection of biology and artificial intelligence, utilizing specialized imaging technology to detect, identify, and predict traits of aquatic species. We value commitment and creativity in building real-world solutions that benefit humanity.

Position Overview:

We are seeking a talented and ambitious AI Engineer with expertise in computer vision and strong development skills to join our team. You will play a key role in designing and implementing cutting-edge machine learning algorithms to solve challenging problems in aquaculture.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning Computer Vision
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support