Remote Data Scientist and Generative AI & Text-to-SQL

Description:

• We are 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.
• The work set-up is fully remote.
• The working hours are from 1:00 PM to 10:00 PM, Monday to Friday.
• A minimum of 5 years of experience in Data Science with expertise in Generative AI and NLP is required.
• The starting date for this position is as soon as possible.
• Responsibilities include designing, training, and fine-tuning AI models for data extraction and structuring, building intelligent agents for user interactions, developing and optimizing Text-to-SQL algorithms, creating AI solutions for document intelligence, deploying and refining AI models using MLOps best practices, and collaborating in an Agile SAFe environment.

Requirements:

• Candidates must have proficiency in Generative AI and NLP, specifically with LLMs (GPT, Mistral, Claude, etc.), embeddings, and vector databases.
• Strong skills in databases and SQL, particularly in Text-to-SQL, query optimization, and large-scale data handling are essential.
• Experience with document processing, including OCR, NLP-based extraction, semantic search, and indexing is required.
• Hands-on experience with MLOps tools such as Kubernetes, Docker, and CI/CD pipelines for AI deployment is necessary.
• Proficiency in programming languages such as Python (including frameworks like Langchain, LlamaIndex, Hugging Face), SQL, FastAPI, and REST APIs is expected.
• The ideal candidate should have over 5 years of experience in Data Science, focusing on Generative AI, NLP, and applied AI, with proven experience deploying AI models in production environments.
• A strong problem-solving mindset and the ability to translate business needs into AI solutions are crucial.
• Experience working in Agile SAFe teams and excellent communication and collaboration skills are also required.

Benefits:

• The position offers the flexibility of a fully remote work environment.
• Employees will have the opportunity to work in a dynamic and innovative field, leading the development of advanced AI solutions.
• The role provides a chance to collaborate with cross-functional teams in an Agile SAFe environment, enhancing teamwork and professional growth.
• Continuous learning and improvement in AI model performance, scalability, and reliability are encouraged through MLOps best practices.