Apply for Senior AI Engineer

Position Overview

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.

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.

Requirements

• 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.

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).

1. Information We Collect

We collect personal data necessary for recruitment and employment purposes, including but not limited to:

• Personal Identifiable Information (PII): Name, email, phone number, address, and date of birth
• Professional Information: Resume, educational qualifications, work experience, technical and soft skills, certifications, and references
• Employment Preferences: Desired job role, salary expectations, location preference, and notice period
• Additional Information: Any other details you voluntarily provide during the hiring process

2. How We Use Your Information

The personal data we collect is used for the following purposes:

• Recruitment and Hiring: To evaluate and process job applications
• Communication: To inform candidates about job opportunities
• Legal Compliance: To comply with applicable laws
• Improving Recruitment Process: To enhance our hiring procedures

3. Data Sharing and Disclosure

We may share your information with:

• Internal Teams: Hiring managers and HR personnel
• Third-Party Service Providers: Background verification agencies
• Legal and Regulatory Authorities: If required by law

4. Data Security

We implement strict security measures including:

• Encryption and secure data transmission
• Restricted access to authorized personnel
• Regular security audits

5. Data Retention

Your data will be retained as long as necessary for the recruitment process. Unsuccessful applications may be kept for future opportunities unless deletion is requested.

Contact us at hr@weybee.com for any privacy concerns.