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- Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real-world scenarios.
- Strong theoretical and practical knowledge of machine learning and NLP.
- Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools.
- Strong analytical and problem-solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.
- Lead the development, training, and fine-tuning of large language models and LLM-driven solutions to tackle intricate NLP tasks.
- Implement and refine a robust, scalable architecture in production environments to ensure optimal performance.
- Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability.
- Proactively address challenges concerning data quality, bias mitigation, and model interpretability.
- Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities.
- Collaborate closely with cross-functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions.
- Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
- Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM-based solutions.
Posted about 18 hours ago
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