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.

Requirements

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.