Machine Learning Engineer

Requirements

• At least 3 years of experience in software development and/or machine learning for cloud-based solutions
• Good understanding of machine learning processes and standards, as well as the SDLC
• Strong programming skills in Python, C++, or other programming languages commonly used in machine learning applications
• Understanding of REST APIs, git version control, CI/CD and MLOps principles
• Experience with cloud platforms such as AWS, GCP or Azure
• Experience with Docker and containerization

Benefits

• Develop and maintain scalable infrastructure for model training and deployment
• Develop cloud-native APIs, pipelines and general software for model inference
• Conduct experiments and analysis to evaluate model performance and identify areas for improvement in both edge and cloud computing
• Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
• Develop and maintain technical documentation