✨ About The Role
- The Machine Learning Engineer will develop models to predict important process parameters for production systems.
- Responsibilities include data mining, model development, training, and deployment across various machine learning applications.
- The role requires defining proper metrics for projects that align with business objectives and performing data cleaning and ETL processes.
- The engineer will build pipelines to support running multiple machine learning models in parallel in production.
- Active participation in the interview process and helping other engineers grow is also part of the job responsibilities.
âš¡ Requirements
- The ideal candidate has a bachelor's, master's, or Ph.D. in a related field such as Data Science, Computer Science, or Machine Learning.
- A minimum of 2 years of experience with machine learning systems, algorithms, or applications is required.
- The candidate should have a strong programming background, particularly in Python, and be skilled in software development.
- Experience in startup or early product development environments is preferred, indicating adaptability and innovation.
- The successful individual will have a good understanding of fundamental computer science algorithms and their scaling behaviors.
- Strong communication skills are essential for explaining complex topics to both technical and non-technical audiences.