Data Scientist and Generative AI & Text-to-SQL

Brixio; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

A leading company is seeking an experienced Data Scientist to lead the development of innovative AI solutions. In this fully remote position, you will focus on Generative AI and Text-to-SQL, ensuring the integration of intelligent document processing within data ecosystems. The role requires a minimum of 5 years in Data Science, emphasizing strong collaborative and communication skills.

Qualifications

• 5+ years in Data Science with a focus on Generative AI and NLP.
• Proven experience deploying AI models in production environments.
• Strong problem-solving mindset and ability to translate business needs into AI solutions.

Responsibilities

• Design, train, and fine-tune AI models for data extraction.
• Develop Text-to-SQL algorithms for efficient query processing.
• Work in an Agile SAFe environment with cross-functional teams.

Skills

Generative AI

NLP

SQL

AI Model Optimization

Document Processing

Agile Methodology

Tools

Python

Kubernetes

Docker

FastAPI

Job description

We’re seeking an experienced Data Scientist to join our team and lead the development of cutting-edge AI solutions in Generative AI, Text-to-SQL, and intelligent document processing.

Work set-up: Fully Remote

Time zone : 1:00PM - 10:00PM Mon-Fri

Experience required : 5 years minimum in Data Science with expertise in Generative AI & NLP

Starting date : ASAP

What You’ll Do

1. Generative AI Development & Integration

• Design, train, and fine-tune AI models for extracting and structuring data from documents.
• Build intelligent agents to automate user interactions and handle natural language queries.

2. Text-to-SQL & AI-Powered Data Processing

• Develop and optimize Text-to-SQL algorithms to convert natural language into efficient SQL queries.
• Enhance query interpretation using AI to support complex data requests.

3. Document Intelligence & Knowledge Discovery

• Create AI solutions to connect, index, and query structured and unstructured documents (Word, PDF, Excel).
• Integrate document insights into broader data ecosystems for seamless knowledge discovery.

4. AI Model Optimization & MLOps

• Deploy, monitor, and refine AI models using MLOps best practices.
• Continuously improve model performance, scalability, and reliability.

5. Cross-Functional Collaboration

• Work in an Agile SAFe environment with DevOps, Data, and Product teams.
• Provide AI expertise to support automation, deployment, and business alignment.

What You Bring

Technical Expertise:

• Generative AI & NLP: Proficiency with LLMs (GPT, Mistral, Claude, etc.), embeddings, and vector databases.
• Databases & SQL: Strong skills in Text-to-SQL, query optimization, and large-scale data handling.
• Document Processing: Experience with OCR, NLP-based extraction, semantic search, and indexing.
• MLOps: Hands-on with Kubernetes, Docker, and CI/CD pipelines for AI deployment.
• Programming: Python (Langchain, LlamaIndex, Hugging Face), SQL, FastAPI, REST APIs.

Ideal Profile:

• 5+ years in Data Science, with a focus on Generative AI, NLP, and applied AI.
• Proven experience deploying AI models in production environments.
• Strong problem-solving mindset and ability to translate business needs into AI solutions.
• Experience working in Agile SAFe teams.
• Excellent communication and collaboration skills.