About the Role We are seeking a highly experienced and technically skilled Data Scientist to join our team remotely. This role requires deep expertise in AI/ML development, cloud-based deployments (particularly in Azure), and hands-on experience in scaling proof-of-concepts (POCs) to production. The ideal candidate will have a strong foundation in Python, a thorough understanding of healthcare data standards, and a proven track record in building intelligent data solutions. Responsibilities Develop and deploy AI solutions using Python and Azure cloud services. Design and implement machine learning models, particularly for natural language processing (NLP) tasks such as: Text extraction Text classification Sentiment analysis Named entity recognition (NER) Summarization Apply RAG (Retriever-Augmented Generation) architectures in real-world NLP use cases. Utilize Azure tools and APIs including: Azure AI Search Azure OpenAI APIs Azure SQL Database Conduct data preprocessing and transformations using SQL Server and Python. Manage data normalization, feature engineering, and data augmentation. Work with search algorithms, indexing techniques, and retrieval models; familiarity with Elasticsearch or Azure AI Search is a plus. Ensure compliance with healthcare data standards such as HIPAA and FHIR. Implement data masking and security techniques for PII/PHI protection. Collaborate with cross-functional teams and effectively communicate complex technical concepts to diverse stakeholders. Apply best practices for cloud cost management and resource optimization. Qualifications Must-Haves: At least 10 years of experience as a Data Scientist. Advanced Python proficiency, with hands-on experience in AI/ML development. Deep experience with the Azure ecosystem, especially deploying and scaling AI applications. Demonstrated ability to scale Proof of Concepts (POCs) into production-ready systems. Technical Proficiencies: Python libraries and frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, spaCy. Data manipulation and complex querying using SQL Server. RAG architecture and retrieval-based NLP systems. Cloud infrastructure, deployment, and monitoring using Azure. Familiarity with healthcare data regulations (HIPAA, FHIR). Soft Skills Strong analytical thinking and attention to detail. Effective communication with both technical and non-technical audiences. Team collaboration in fast-paced, cross-functional environments. Job Type: Contract Schedule: 8 hour shift Day shift Monday to Friday Application Question(s): Do you have at least 10 years of experience as a Data Scientist? Do you have advanced Python proficiency, with hands-on experience in AI/ML development? Do you have deep experience with the Azure ecosystem, especially deploying and scaling AI applications. Have you demonstrated ability to scale Proof of Concepts (POCs) into production-ready systems. Work Location: Remote