Senior AI/ML Engineer

The Opportunity

• Design, implement and deploy Machine Learning solutions to solve complex problems and deliver real business value ie. revenue, engagement and customer satisfaction.
• Collaborate with data scientists, software engineers and business partners to identify AI/ML opportunities for improving operation scalability and efficiency.
• Develop production-grade ML models to power personalized customer experience, content recommendation, fraud detection/prevention and more.
• Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation.
• Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Crypto industry.
• Mentor junior engineers, fostering a culture of continuous learning and improvement.

Skills you should HODL

• Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
• Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
• Strong programming skills in Python, Scala, Go, Rust or other languages.
• Excellent written and verbal communication skills and interpersonal skills.
• Experience with MLOps platforms, such as Kubeflow or MLFlow.
• Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
• Experience with Big Data tools – Spark, S3, Athena/Trino.
• Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
• Advanced degree in Computer Science, Machine Learning or related field.
• A minimum of 5 years experience in AI/ML engineering, with a track record of handling increasingly complex projects.