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

Info Dinamica Inc is hiring a senior Machine Learning Engineer for a 12-month W2 contract. The role focuses on developing machine learning models for geological data, including image processing and time series signal processing. The engineer will handle model training, distributed training pipelines, and MLOps practices. Remote work is available for US/Canada candidates, with an optional hybrid arrangement in Mountain View, CA.

• Develop and deploy machine learning models for subsurface and well log data.
• Build and maintain data pipelines for image and sensor data.
• Set up distributed model training pipelines using platforms like Kubeflow.
• Train and fine-tune ML models for image processing and time series analysis.
• Implement MLOps practices including model monitoring, versioning, and deployment.

• Senior-level experience leading small engineering teams and setting technical goals.
• Proficiency in deep learning, GPU training, and inference.
• Experience with TensorFlow and PyTorch.
• Strong background in building/deploying ML models, especially image processing and time series signal processing.
• Hands-on experience training and fine-tuning models.
• Skilled in building/maintaining data pipelines for image and sensor data.
• Familiarity with MLOps tools and data labeling tools.