Lead Machine Learning Engineer - Remote (US) or CA - Only W2

A leading ML Engineer is sought to work on seismic and well log data, identifying geologic characteristics. The role involves leading small engineering teams, building and deploying models with emphasis on deep learning, GPU training, and image models, using GCP and MLOps practices.

• Lead small engineering teams and set technical goals. Train and fine-tune ML models, focusing on image and time series signal processing. Build and maintain data pipelines for image and sensor data. Implement MLOps practices including model monitoring, versioning, and deployment.

• Senior-level experience leading engineering teams. Experience with deep learning, GPU training and inference, image models. Extensive experience in model training and distributed pipelines using Vertex AI and Kubeflow. Strong background in building and deploying ML models for image processing and time series. Hands-on experience with data pipelines and MLOps tools. Familiarity with data labeling tools. Comfortable with GCP.

• Experience with GCP is highly desirable; ability to learn quickly. Proficiency in TensorFlow and PyTorch. Familiarity with Protocol Buffers and containerization. Experience with rapid prototyping.