[Hiring] Senior AI Engineer @Nacre Capital

Role Description

We are seeking an experienced, 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.

• Proven track record in developing image/video processing and computer vision solutions.
• 8+ 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 BSc degree and equivalent industrial experience are also encouraged to apply.

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.

Preferred Qualifications

• A track record of publications in top-tier AI conferences or journals.
• Experience deploying machine learning/AI systems in production environments and tools.
• Familiarity with inference optimizations techniques using CUDA, ONNX, TensorRT etc.
• Familiarity with containerization technologies (e.g. Docker, Docker compose, K8s).
• 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).
• Ability to visit Aquaculture sites when needed.