Machine Learning Engineer

• Contribute to setting engineering practices, architecture, and excellence standards within the team
• Work on blockchain architectures, data models, crypto behavioral modeling, and forensics
• Build systems at the cutting edge of crypto and ML applications
• Develop high-quality pre-models and tools to enable large-scale ML workflows

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science, Mathematics (or equivalent experience)
• At least 4+ years of relevant professional experience in Data Science or Machine Learning engineering
• Familiarity with ML methodologies to ensure the best performance of systems
• 3+ years of expertise contributing to the architecture and design of vast ML applications
• 1+ years of experience guiding a team of engineers on a complex project
• Expert skills in machine learning, including developing and implementing novel algorithms for sophisticated technical modeling and optimization problems
• Core skills in one or more ML technologies like PyTorch, TensorFlow/Keras, Spark-ML
• Core competency in the following; optimizers and model tradeoffs, deep-learning architectures, matrix-factorization, E-M algorithms, and so on
• Knowledge of the ML lifecycle, including debugging and evaluation skills for models, setting hyperparameters, monitoring against drift, and running A/B tests
• Proficiency in modern programming languages such as Python, Java, C, Rust, or GO
• Ability to set engineering standards, as well as coding and code review guidelines, ML pipelines, and ML ops systems and processes
• Experience working on cloud platforms such as GCP or AWS
• Interest or experience in decentralized, peer-to-peer, or blockchain technologies is a plus
• Fluent in verbal and written English