Remote Machine Learning Engineer

Description:

• We are seeking a skilled Machine Learning Engineer to join one of our client's teams.
• In this role, you will work closely with data scientists, data engineers, and platform engineers to develop and deploy machine learning models and pipelines for various classification projects and more.
• You will develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools.
• You will collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase.
• You will contribute to building and maintaining our MLOps infrastructure from the ground up, focusing on extensibility and reproducibility.
• You will take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind.
• You will optimize machine learning models for performance and scalability.
• You will integrate machine learning models into production systems using frameworks like SageMaker.
• You will stay up-to-date with the latest advancements in machine learning and MLOps.
• You will assist in improving our data management, model tracking, and experimentation solutions.
• You will contribute to enhancing our code quality, repository structure, and model versioning.
• You will help identify and implement the best practices for ML services deployment and monitoring.
• You will collaborate on establishing CI/CD pipelines and promoting deployments across environments.
• You will address technical debt items and refactor code as needed.

Requirements:

• You must have 3+ years of experience in machine learning engineering or a related role.
• You should have strong proficiency in Python programming.
• You need experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with cloud platforms like AWS, including services like SageMaker, S3, and Secrets Manager is required.
• You should have experience with data processing, cleaning, and feature engineering for structured and unstructured data.
• Knowledge of software development best practices, including version control (Git), testing, and documentation is necessary.
• You must possess excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities are essential.
• You should be able to work independently and take ownership of projects.

Benefits:

• At RYZ Labs, you will find yourself working with autonomy and efficiency, owning every step of your development.
• We provide an environment of opportunities, learning, growth, expansion, and challenging projects.
• You will deepen your experience while sharing and learning from a team of great professionals and specialists.
• Our teams are remote and distributed throughout the US and Latam, allowing for flexible work arrangements.
• You will have the chance to work with cutting-edge technologies in cloud computing to create scalable and resilient applications.