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.
Originally posted on Himalayas
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