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# AI Data Scientist

- **Company:** Diverse Lynx LLC
- **Location:** Weehawken Township, NJ, United States
- **Salary:** $104,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Computer Programming, Data Transformation, Information Retrieval, Python (Programming Language), Machine Learning, NumPy, Parsing, OpenAI, Tensorflow, Requirements Management, Search Technologies, Scripting, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Llamaindex, Generative AI, Pandas, AI Platforms, Scikit Learn, Feature Selection, Machine Learning Operations, Azure AI, Restful APIs, Software Version Control
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-data-scientist-weehawken-nj--3ab955b5-1e01-4267-8dc0-20e5a243563c

## About the Role

Data Science, Artificial Intelligence (AI), Machine Learning, Deep Learning, Requirements Management, Python Programming/Scripting Language, Semantic Search, Microsoft Windows Azure, Application Programming Interface (API), Shallow Parsing, Job DescriptionRole: AI Data ScientistKey ResponsibilitiesDesign| develop and deploy AI/ML models to solve complex business problems using structured and unstructured data.Build predictive models using machine learning| statistical modeling| feature engineering and advanced analytics techniques.Develop Generative AI and LLM-based solutions| including RAG| prompt engineering| embeddings and vector-search-based applications.Perform data exploration| cleansing| preprocessing| feature selection and model evaluation using Python| Pandas| NumPy and Scikit-learn.Develop deep learning solutions using frameworks such as PyTorch or TensorFlow where required.Work with LLMs and AI platforms such as Azure OpenAI| along with frameworks such as LanEligible to workhain/LlamaIndex when appropriate.Design and evaluate RAG pipelines| including document processing| chunking| embeddings| retrieval and response-quality evaluation.Develop and integrate AI services using REST APIs and collaborate with engineering
teams to productionize models.Implement MLOps practices covering model versioning| deployment| monitoring and continuous improvement.Collaborate with business stakeholders| data engineers| architects and application teams to translate business requirements into scalable AI solutions.Required SkillsStrong programming experience in Python and SQL.Strong knowledge of Machine Learning| NLP| statistical modeling and predictive analytics.Hands-on experience with Generative AI| LLMs| RAG| prompt engineering and embeddings.Experience with Scikit-learn| PyTorch and/or TensorFlow.Good understanding of vector databases/search technologies and semantic search.Experience with Azure AI/Azure OpenAI or equivalent cloud AI platforms.Knowledge of MLOps| model deployment| APIs and production AI architectures.Strong analytical| problem-solving and stakeholder communication