Senior Machine Learning Engineer

We have a Senior Machine Learning Engineer role. Below are the key details: Main skill: Time Series, ML models training production experience, Vision Models - 2D/3D Project duration: 12 months Location: 3 days per week onsite in Mountain View, CA Recruitment process: General Interview – Technical Interview (90 min) – Client interview 2 rounds Required start date: Asap Level: Senior/ Lead Role Overview: Looking for a Machine Learning Engineer to work on products related to seismic and well log data. The role will involve identifying simple geologic characteristics of the data (faults, horizons) and requires working knowledge of different subsurface data formats and types. Requirements: Strong experience in building and deploying machine learning models, especially in image processing and time series signal processing. Proficiency with TensorFlow and PyTorch. Hands-on experience with training and fine-tuning ML models for production. Skilled in building and maintaining data pipelines for image and sensor data. Familiarity with ML Ops tools and practices (model monitoring, versioning, and deployment). Experience with data labeling tools. Knowledge of cloud platforms, particularly Google Cloud Platform (GCP). Key Focus Area: Time series and ML model training experience in production environments. Expertise in Vision Models (2D/3D).