English summary for screening — check the original posting before applying.
As a Machine Learning Engineer, you will develop analytical algorithms and programs using machine learning and natural language processing. You will be involved in product development, including implementing analysis processing, developing ML models, and improving existing systems. The role also includes PoC and new product development, requiring requirements definition, design, and development of ML systems. Future opportunities may include taking a lead role for specific products.
Must-haves
- Experience building regression and classification models using Python for machine learning.
- Experience in system development on the cloud (AWS, etc.).
- Knowledge and practical experience with development tools such as Git and containers.
Nice-to-haves
- Experience in developing machine learning analysis models for natural language.
- Ability to communicate logically.
- Experience in implementation without difficulty.
- Individuals who can be flexible and adaptable to various tasks.
- Product engineers who can identify high-priority tasks from a business perspective.
- Individuals who can take ownership and focus on critical challenges.
Tech stack
PythonPandasAWSAmazon SageMakerGradient BoostingGitHubGitLabSlackasana
Work style
Full remote and full flex, unbound by location or time.