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.
