Principal Engineer
1 month ago
Job Description :
1. This role will be Work From Office at Bellandur, Bengaluru.
2. A minimum of 8 years of Artificial Intelligence/Machine Learning experience.
3. Strong programming skills in Python , C++, or other relevant languages.
4. Experience with machine learning frameworks such as TensorFlow, PyTorch , or similar.
5. Strong knowledge of machine learning algorithms and principles.
6. Experience with cloud computing services (AWS, Azure, GCP , etc.)
7. Comprehensive understanding of training LLMs
8. Proficient in deploying popular pre-trained model like GPT-4, BERT, and their derivatives
9. Familiarity with the foundational architectures in LLMs such as Transformers, GPT variants, BERT, etc
10. Knowledge of optimization techniques for serving LLMs, including quantization, distillation, and on-the-fly sampling methods
11. Bachelor's Degree in Computer Science, Engineering
12. Exceptional problem-solving abilities
13. Excellent communication skills, both written and verbal
14. Design and implement machine learning algorithms tailored for specific research questions or operational needs, ensuring algorithmic fairness and interpretability when applicable
15. Oversee data acquisition, storage, and distribution for machine learning projects, ensuring data quality and compliance with privacy policies
16. Perform data preprocessing including normalization, transformation, and feature engineering to prepare it for machine learning models
17. Develop machine learning models using frameworks like TensorFlow or PyTorch, focusing on scalability and efficiency.
18. Translate research algorithms into production-level code that can be integrated into existing platforms or products
19. Develop automated tools to monitor and report on model performance, identifying and addressing performance degradation or data anomalies as they arise
20. Update models as needed based on performance metrics or new data
21. Articulate machine learning concepts and the implications of model outcomes to non-technical stakeholders through presentations and written documentation
22. Collaborate cross-functionally with business stakeholders, software developers, and other engineers to integrate machine learning solutions into broader company operations
23. Collaborate with DevOps teams to deploy machine learning models in a cloud-based environment, ensuring that models are easily maintainable, scalable, and robust.
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