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2 weeks ago
As a senior data scientist, you will develop and deploy large language models tailored to specific business needs. You will collaborate across teams to integrate these models into production systems and ensure their performance, reliability, and alignment with business goals.
The role involves fine-tuning and optimizing language and natural language processing models for real-world applications, integrating them into scalable systems, applying prompt engineering techniques, and collaborating with machine learning engineers and developers to build robust AI pipelines.
You will be responsible for evaluating model performance using accuracy, relevance, and alignment metrics, staying current with advancements in language model frameworks and transformer architectures, and documenting best practices and contributing to internal knowledge sharing.
This position requires a strong analytical and problem-solving mindset, excellent communication and collaboration skills, proactivity, adaptability, and self-driven behavior. The ideal candidate should be able to work independently and collaboratively within cross-functional teams, have a genuine motivation to contribute to the company's success and alignment with its culture and values.
- Fine-tune and optimize language and NLP models
- Integrate models into scalable systems
- Apply prompt engineering techniques to improve model performance
- Collaborate with ML engineers and developers to build robust AI pipelines
- Evaluate model performance using accuracy, relevance, and alignment metrics
- Stay current with advancements in language model frameworks and transformer architectures
- Document best practices and contribute to internal knowledge sharing
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