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Machine Learning Engineer
Skills
Computer ScienceData EngineeringData ScienceMlopsMachine LearningModel DevelopmentNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Track record of developing deploying machine learning models solving real-world problems
- Expertise in Python and PyTorch with 5+ years experience in ML model development deployment workflows
- Deep understanding of modern ML techniques including NLP graph representation learning and deep learning
- Comfortable with ambiguity thriving in a research-oriented environment
- Experience with MLOps practices tools for managing the full ML lifecycle
- Passionate about using skills to impact education society positively
Nice to have
- Experience in Edtech or startup
- Contributed to open-source ML projects
- Published papers at top-tier conferences
- Experience with cloud platforms like Azure or AWS
- Worked in remote or distributed team environments
- Lifelong learner excited to tackle new challenges expand skillset
Day to day
- Apply machine learning to education working closely with our research team
- Develop and deploy machine learning models including Graph Neural Networks and Large Language Models
- Transform research prototypes into robust scalable solutions that can handle millions of students
- Translate ML insights into features that make a real difference in students' lives
- Contribute to groundbreaking research presenting at top-tier conferences collaborating with academia and the education community