What are the responsibilities and job description for the Data Scientist AI/ML & Generative AI position at Jobs via Dice?
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- Design, build, and deploy ML models, including NLP, predictive analytics, and deep learning use cases.
- Develop and fine-tune LLMs and Generative AI models for tasks such as summarization, content generation, and intelligent automation.
- Work with large structured and unstructured datasets using tools like Pandas, NumPy, and Spark.
- Implement models in production environments using Python, TensorFlow, PyTorch, or scikit-learn.
- Conduct exploratory data analysis and visualization to support hypothesis development and business insights.
- Collaborate with engineering, product, and analytics teams to integrate AI solutions into products and workflows.
- Experience with transformers, open-source LLMs (e.g., LLaMA, Falcon, Mistral), or frameworks like LangChain is highly desirable.
- Knowledge of MLOps, model versioning, monitoring, and deployment pipelines is a plus.
- 8 years of experience in data science, including real-world ML model deployment and optimization.
- Advanced degree (MS or PhD) in Computer Science, Data Science, Applied Mathematics, or a related field.