Machine Learning Engineer, First Resonance

• 3+ years of experience in machine learning engineering with a focus on production deployment
• Strong programming skills and experience in Python, Rust, or R
• Solid understanding of machine learning algorithms, such as supervised and unsupervised learning, reinforcement learning, and deep learning, as well as experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Hands-on experience with ML workflow management tools such as MLflow
• Experience with building, testing, and deploying ML models in production
• Solid understanding of data structures, algorithms, and statistics
• Strong knowledge of software engineering best practices and version control systems such as Git

Desirable

• Develop, implement, and deploy machine learning models in production environments
• Work with cross-functional teams to define and prioritize ML use cases based on business requirements
• Collaborate with data engineers, data scientists, and software engineers to build scalable and efficient ML pipelines
• Implement ML workflows and monitoring solutions using MLflow or other similar life-cycle model management tools
• Continuously improve and optimize the performance of ML models in production
• Document and communicate ML processes, models, and results to stakeholders