AI Model Optimizer

3 days ago


Vellore, Tamil Nadu, India beBeePythonist Full time ₹ 15,00,000 - ₹ 25,00,000

Job Description

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  • Design, develop and maintain efficient Python code to train and optimize AI models.

  • Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.

  • Familiarity with Python frameworks and libraries is required.

  • Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.

  • Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.

  • Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality task-specific datasets.

  • Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.

  • Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.

  • Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.

  • Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.

  • Cross-functional collaboration to enhance model performance and contribute to product enhancements.

  • Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Required Skills and Qualifications

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  • 3+ years of experience with Python programming concepts, ownership, borrowing, and lifetimes.

  • Industry experience and knowledge of code quality, formatting, and best practices of 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 in conversational and written English communication skills.

Skillset

Python, LLM Integration



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