Senior AI Engineer
Core
Design and implement machine learning and computer vision algorithms to detect, identify, and predict traits of aquatic species using specialized imaging technology.
Role type
Senior AI Engineer (Computer Vision)
Builds
Production ML models and prototypes for aquaculture species analysis
Domain
Aquaculture + Computer Vision
Deliverable
production ML models
Required skills
Computer vision, Python, PyTorch, scikit-learn, data modeling, software architecture, statistical verification, experimental design
Preferred skills
CUDA, ONNX, TensorRT, Docker, Kubernetes, SQL, MongoDB, cloud platforms (GCP, AWS, Azure), MLOps frameworks (DVC, MLflow, Databricks), CI/CD tools
Technologies
PyTorch, scikit-learn, SciPy, Matplotlib, CUDA, ONNX, TensorRT, Docker, K8s, SQL, MongoDB, GCP, AWS, Azure, DVC, MLflow, Databricks, Jenkins, GitLab CI/CD
Responsibilities
Design and implement ML algorithms from POC to prototypes, conduct experiments to address business questions, develop model testing and statistical verification processes, implement data processing and training pipelines, extend existing ML codebases, document POCs and experiments, plan long-term research activities, assist in recruiting talent
Seniority
Senior, hands-on IC
