Job ID : 39493
Location : Texas City, TX
Company Name : Sunixa Solutions Inc
Job Type : Full-Time, Contract
Industry : Information Technology
Salary : $50 - $60 per hour
No. of Positions : 5-10
Required Skills : Gen AI.
Benefits : None of These
Job Description :
Job Title: Data Scientist
Location: Texas
Job Overview
We are seeking a Data Scientist to support enterprise-grade AI, NLP, and Generative AI initiatives for a large organization in the transportation sector. This role focuses on building and scaling document intelligence platforms, conversational AI systems, and LLM-powered applications used for knowledge discovery and decision support across the enterprise.
The ideal candidate has hands-on experience with LLMs, RAG pipelines, cloud-native AI systems, and production deployments.
Responsibilities
• Enhance and maintain an enterprise AI chat and document intelligence platform
• Design, develop, and optimize RAG pipelines and LLM integrations
• Build and maintain backend APIs and AI services for scalable, multi-team consumption
• Integrate AI solutions with enterprise systems (OAuth, LDAP, cloud services)
• Collaborate with business and technical teams to translate document and data needs into AI-driven solutions
• Support production deployments, including monitoring, logging, and performance optimization
Technologies & Skills
Programming Languages
• Python
• JavaScript / TypeScript
AI / ML & GenAI
• Large Language Models (Claude, GPT, etc.)
• Retrieval-Augmented Generation (RAG)
• LangChain
• Vector search & embeddings
• NLP libraries
Cloud & DevOps
• AWS (ECS, EKS, S3, Lambda, Bedrock)
• Docker, Kubernetes
• CI/CD pipelines
Databases
• MongoDB
• Vector databases
Required Qualifications
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Linguistics, or related field
• Experience with NLP, AI, or LLM-based systems
• Strong experience building APIs and production-grade AI platforms
• Solid understanding of RAG architectures, embeddings, and semantic search
• Experience deploying AI solutions in cloud environments (AWS preferred)
Preferred Qualifications
• Master’s or PhD in a related technical field
• Experience with MLOps, microservices, and scalable AI platforms
• Familiarity with enterprise authentication systems (OAuth, LDAP)
• Knowledge of advanced NLP techniques and observability/monitoring tools
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We’re an equal opportunity provider.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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