Machine Learning Engineering

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with a Master's).
• Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection.
• Deep understanding of how to convert ML metrics to product goals.
• Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code.
• Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
• Strong communication and problem-solving skills.