Design, construct, support, and integrate ML applications directly influencing company growth, and explore diverse ML technologies while operating in a relatively small team.
Requirements
- Master's or PhD in Computer Science, Mathematics, Statistics or a related field.
- Strong knowledge of Machine Learning fundamentals, probability and statistics, algorithm and data structure.
- 5+ years of industrial experience in developing and deploying machine learning models at scale.
- 5+ years of technical expertise in machine learning frameworks such as PyTorch, TensorFlow, etc.
- 3+ years of Industry experience working with end-to-end ML Systems in a production environment, which includes but is not limited to data pipeline, feature engineering, model serving, monitoring, MLOps, etc
- Strong programming skills in at least one modern programming language (Python, Rust, C++, Java, etc.)
- Good English communication skills
Benefits
- Operate in a relatively small team, taking ownership of projects from inception leveraging your industry experience.
- Mentor early-career/mid-career ML engineers.
- Play a critical role in fostering team culture and ML engineering best practices.