
Senior AI/ML Engineer
3 days ago
Day-to-day activities involve:
- Designing and developing high-quality Python code to train and optimize AI models.
- Benchmarking model performance through evaluations and analyzing results for improvement.
- Utilizing knowledge of Python frameworks and libraries to create efficient solutions.
- Evaluating and ranking AI model responses to user queries, ensuring alignment with predefined criteria.
- Developing comprehensive explanations and rationales for evaluations, demonstrating expertise in reasoning and technical skills.
- Leading efforts in Supervised Fine-Tuning (SFT), including dataset creation and maintenance for task-specific requirements.
- Collaborating with researchers and annotators on Reinforcement Learning with Human Feedback (RLHF) and refining reward models.
- Designing innovative evaluation strategies and processes to enhance the model's alignment with user needs and ethical guidelines.
- Creating optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
The ideal candidate has:
- Strong experience with Python programming language concepts, including ownership, borrowing, and lifetimes.
- Industry experience and knowledge of code quality, formatting, and best practices in software development.
- Experience with Python's testing ecosystem, including unit, integration, and property-based testing.
- Knowledge of multi-threading and asynchronous programming in Python.
- Ability to work with architectural patterns and refactor code without introducing regressions.
- Strong debugging skills, including fixing memory and concurrency issues.
- Fluent written and verbal English communication skills.
Skill Proficiency: Python, LLM integration
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