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Mid LevelFull-timePythonAWSMachine LearningData ScienceGitAIMLNLP
Salary Range
$79,560 - $107,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Join NICE’s Research Group and help shape the next generation of AI technologies used by organizations worldwide. As a Data Science Researcher, you will design and develop advanced algorithms across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs). Your work will directly influence production-grade capabilities for our industry-leading contact center solutions.
Key Responsibilities
- →Conduct research and prototype advanced machine learning algorithms in NLP, Vision, and multimodal modeling.
- →Design, refine, and evaluate algorithms that employ large language models (LLMs)
- →Analyze large-scale, real-world datasets to derive insights and guide algorithm development.
- →Transition research prototypes into production-ready solutions through close collaboration with engineering teams.
- →Clearly communicate research findings, methodologies, and recommendations to both technical and nontechnical stakeholders.
- →Stay current with the latest advancements in AI and contribute to expanding the team’s internal knowledge base.
Requirements
- ✓Advanced degree (MSc or PhD) in Computer Science, Mathematics, Engineering, or a related STEM field.
- ✓Hands-on experience using large language models (LLMs) via AWS Bedrock or other generative AI services.
- ✓Strong Python programming skills and proficiency with machine learning libraries.
- ✓AI engineering skills
- ✓Advanced adoption of AI coding tools such as Claude Code and GitHub co-pilot.
- ✓Experience using GenAI for data science work such as LLM as a judge, data sets generation, weak labeling etc.
- ✓Experience working with Hugging Face or similar model libraries.
- ✓Solid understanding of machine learning theory and its practical application.
- ✓A track record of developing and implementing advanced algorithms.
- ✓Strong communication and presentation abilities.
- ✓Fluency in English.
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