Data Scientist

Position: Data Scientist

Location: Houston, TX 3days/week

Experience: 8+ Years

Build, deploy, and operationalize scalable AI-powered clinical NLP and machine learning solutions using deep learning, LLMs, and cloud-native big data platforms in healthcare environments.

Responsibilities: -

• Analyze and process large volumes of unstructured clinical and healthcare text using advanced NLP, machine learning, and deep learning techniques
• Enhance and optimize existing AI/NLP workflows by designing and implementing state-of-the-art algorithms, including Large Language Models (LLMs) and agentic frameworks such as LangGraph, to improve performance, scalability, and usability
• Develop, maintain, and extend modular NLP components using Python and other relevant programming or scripting languages
• Perform comprehensive text pre-processing, data quality assessments, feature engineering, and validation of NLP model outputs
• Design, implement, and execute systematic testing frameworks, error-handling mechanisms, and model performance evaluation methodologies
• Build, deploy, and manage end-to-end ML pipelines following MLOps best practices, including versioning, monitoring, retraining, and CI/CD automation
• Create and maintain technical documentation, model documentation, testing reports, and user manuals
• Design and develop scalable data pipelines for extraction, transformation, and loading (ETL) from diverse data sources, including MCP servers
• Leverage SQL and AWS big data technologies such as EMR, Spark, and PySpark for large-scale data processing
• Collaborate closely with Engineering, Data, and Platform teams to design, deploy, and optimize robust and secure AI/NLP infrastructure
• Utilize AWS services for model development and deployment, including AWS Bedrock for generative AI applications
• Work with relational databases to manage structured and semi-structured data efficiently.

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Skills: Mandatory skills

• Strong hands-on expertise in Natural Language Processing (NLP), machine learning, and deep learning
• Proficiency in Python for building and deploying NLP and ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and agentic workflows (e.g., LangGraph or similar frameworks)
• Solid understanding of data pre-processing, normalization, feature extraction, and quality validation techniques
• Strong MLOps experience, including model versioning, pipeline orchestration, CI/CD, monitoring, performance tracking, and retraining strategies
• Experince to containerization and orchestration tools (Docker, Kubernetes
• Proficiency in SQL for data querying, transformation, and analytic
• Practical experience with AWS big data and compute services (EMR, Spark, PySpark)
• Working knowledge of AWS services, including AWS Bedrock for generative AI use cases
• Experience with at least one relational database: PostgreSQL or MySQL
• Strong understanding of testing strategies, error analysis, and model validation techniques

Good-to-Have Skills

• Prior experience with clinical, biomedical, or healthcare NLP use cases
• Familiarity with healthcare data standards, terminologies, or ontologies
• Experience deploying ML/NLP solutions in regulated or production healthcare environments
• Knowledge of distributed systems and cloud-native data architectures
• Experience with additional data stores, data warehouses, or NoSQL technologies
• Strong technical documentation and stakeholder communication skills
• Experience working in agile or cross-functional product development teams

Thanks & Regards,

Bhupender Singh

XL Impex Inc dba

Atika Technologies

5 Independence Way, Suite 300,

Princeton, NJ 08540