Hello Partners,
Rate: $57/hr and submit only those candidate who are comfortable to take interview today at 4pm cst
H1B/OPT/H4EAD/L2-EAD/TN ONLY
Passport number is mandatory
Role: Data Scientist with AI
Location: Houston, TX( 3 days onsite)
Duration: long Term Contract
Responsibilities: -
- Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models.
- Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms, including leveraging large language models (LLMs) and tools like LangGraph for complex AI agentic workflows in healthcare contexts.
- Develop NLP modules within the NLP development team using programming or scripting languages such as Python.
- Conduct pre-processing and quality analysis for textual data inputs and validate performance of NLP outputs.
- Create systematic testing procedures, error-checking mechanisms, and user manuals for NLP modules.
- Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources including MCP servers, using SQL and AWS big data frameworks such as EMR and Spark/pySpark.
- Collaborate with Engineering teams to ensure scalable and efficient data workflows using SQL and AWS big data technologies.
- Apply working knowledge of AWS services, particularly AWS Bedrock, to develop generative AI applications.
- Utilize relational databases such as PostgreSQL or MySQL for data storage and retrieval in NLP and AI workflows.
Mandatory skills
- Expertise in Fine tuning using AWS Nova
- Proficiency in Python and scripting languages for NLP and machine learning development.
- Strong understanding of clinical NLP techniques and experience with machine learning and deep learning models.
- Hands-on experience with large language models and agentic workflow tools such as LangGraph.
- Expertise in SQL and big data technologies including AWS EMR and Spark/pySpark.
- Practical knowledge of AWS services, especially AWS Bedrock for generative AI applications.
- Experience with relational databases such as PostgreSQL or MySQL.
Good to have skills: -
- Familiarity with generative AI applications in healthcare and related use cases.
- Understanding of healthcare data standards and terminologies such as HL7, FHIR, and CCDA.
- Experience in creating detailed documentation, user manuals, and technical specifications.
- Background in automated testing and validation frameworks for NLP outputs.
- Ability to collaborate effectively with cross-functional teams including engineering and products.
- Exposure to LangChain or similar frameworks for building intelligent agent workflows.