> Markdown version of [/jobs/ext/3870125-data-scientist-ai-data-engineering-architect](https://www.wearedevelopers.com/jobs/ext/3870125-data-scientist-ai-data-engineering-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist / AI & Data Engineering Architect - **Company:** Cardinal Integrated Technologies Inc - **Location:** New Hyde Park, NY, United States - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, SQL Databases, Pytorch, Large Language Models, Generative AI, Scikit Learn, Machine Learning Operations, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/1211e371-9cbb-4627-9a2d-577c0cb6a817 ## About the Role We are seeking a skilled Data Scientist / AI Engineer with strong experience in Machine Learning, Artificial Intelligence, Data Science, Azure, and Data Engineering. The ideal candidate will develop and deploy scalable AI/ML solutions, analyze large datasets, and drive business outcomes through data-driven insights. Key Requirements: * Hands-on experience in Data Science, Machine Learning, and AI. * Proven experience developing and deploying ML/AI solutions for business use cases. * Strong proficiency in Python, data analysis, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). * Experience with Azure services and Data Engineering technologies. * Knowledge of data pipelines, ETL processes, and cloud-based analytics platforms. * Excellent communication and stakeholder management skills. Preferred Skills: * Azure Machine Learning, Databricks, Data Factory, Synapse. * MLOps, Generative AI, and Large Language Models (LLMs). * SQL, data modeling, and cloud-native architectures. This role requires a blend of AI/ML expertise, cloud technologies, and data engineering skills to deliver innovative and scalable solutions.