Sr. Software Engineer (Machine Learning Focus)

at  CAT Labs Crypto Asset Technology Labs Inc

We are looking for a talented Senior Software Engineer with a strong background in machine learning to join our team. Reporting to the Head of Technology, this individual will develop new features, test, and maintain code across our mission-critical products.

QUALIFICATIONS:

• Required
• Minimum 5 years of software development experience with at least 3 years of back-end development expertise.
• Expertise in multiple programming languages including TypeScript, Python, and Go.
• Experience with modern web development using Angular, Node.js, and relational databases.
• Expertise in AWS cloud architecture and infrastructure including microservice design and containerization.
• Experience designing, building, and scaling production-grade Swagger/OpenAPI and database solutions.
• Expertise in ML concepts and algorithms including neural networks, linear/logistic regression, support vector machines, random forests, dimensionality reduction, and reinforcement learning.
• Expertise with ML frameworks such as Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, and Hugging Face.
• Proficiency with MLOps and associated tools such as MLflow and Kubeflow.
• Experience with optical character recognition and natural language processing applications.
• Experience with continuous integration / continuous deployment (CI/CD) pipelines and Site Reliability Engineering (SRE) principles.
• Excellent communication and collaboration skills, with the ability to work effectively in an agile environment.

Preferred

• Prior experience in GovTech or highly-regulated environments.
• Familiarity with blockchain integration.
• Familiarity with digital forensics.
• Bachelor’s degree in Computer Science or related field.

• Software Development
• Contribute to the design and implementation of our digital asset recovery platform.
• Develop front-end web UIs using modern tech stacks.
• Design and build back-end microservices on AWS cloud infrastructure.
• Develop secure and efficient APIs to facilitate platform functionality.
• Design and implement scalable database models for reliable data storage and retrieval.

Machine Learning

• Develop new statistical ML models.
• Write, test, deploy, and maintain ML code across the full software development lifecycle.

• Develop secure and efficient APIs to facilitate ML functionality.

Continuous Improvement

• Continuously seek opportunities to optimize existing workflows for efficiency, speed, and accuracy.

• Stay updated with the latest advancements in relevant technologies and explore their potential applications.

Documentation and Communication

• Produce clear and comprehensive technical documentation (code comments, design docs, etc.) to describe the platform’s internal and operational procedures.
• Foster open communication with team members to ensure knowledge sharing and effective collaboration.