AI Data Scientist

Bill Rate-$60
Location: Weehawken NJ
Duration: 6 months



Role Descriptions: AI Data Scientist Job DescriptionRole: AI Data ScientistKey ResponsibilitiesDesign develop and deploy AI/ML models to solve complex business problems using structured and unstructured predictive models using machine learning statistical modeling feature engineering and advanced analytics Generative AI and LLM-based solutions including RAG prompt engineering embeddings and vector-search-based data exploration cleansing preprocessing feature selection and model evaluation using Python Pandas NumPy and deep learning solutions using frameworks such as PyTorch or TensorFlow where with LLMs and AI platforms such as Azure OpenAI along with frameworks such as LanEligible to workhain/LlamaIndex when and evaluate RAG pipelines including document processing chunking embeddings retrieval and response-quality and integrate AI services using REST APIs and collaborate with engineering teams to productionize MLOps practices covering model versioning deployment monitoring and continuous with business stakeholders data engineers architects and application teams to translate business requirements into scalable AI SkillsStrong programming experience in Python and knowledge of Machine Learning NLP statistical modeling and predictive -on experience with Generative AI LLMs RAG prompt engineering and with Scikit-learn PyTorch and/or understanding of vector databases/search technologies and semantic with Azure AI/Azure OpenAI or equivalent cloud AI of MLOps model deployment APIs and production AI analytical problem-solving and stakeholder communication skills.
Essential Skills: AI Data Scientist Job DescriptionRole: AI Data ScientistKey ResponsibilitiesDesign develop and deploy AI/ML models to solve complex business problems using structured and unstructured predictive models using machine learning statistical modeling feature engineering and advanced analytics Generative AI and LLM-based solutions including RAG prompt engineering embeddings and vector-search-based data exploration cleansing preprocessing feature selection and model evaluation using Python Pandas NumPy and deep learning solutions using frameworks such as PyTorch or TensorFlow where with LLMs and AI platforms such as Azure OpenAI along with frameworks such as LanEligible to workhain/LlamaIndex when and evaluate RAG pipelines including document processing chunking embeddings retrieval and response-quality and integrate AI services using REST APIs and collaborate with engineering teams to productionize MLOps practices covering model versioning deployment monitoring and continuous with business stakeholders data engineers architects and application teams to translate business requirements into scalable AI SkillsStrong programming experience in Python and knowledge of Machine Learning NLP statistical modeling and predictive -on experience with Generative AI LLMs RAG prompt engineering and with Scikit-learn PyTorch and/or understanding of vector databases/search technologies and semantic with Azure AI/Azure OpenAI or equivalent cloud AI of MLOps model deployment APIs and production AI analytical problem-solving and stakeholder communication skills.