Senior Data Scientist - Generative AI

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, train, and deploy next-generation AI solutions using large language models and modern data engineering tools. Collaborate with cross-functional teams to drive automation and intelligence across enterprise systems. Develop and deploy applications using Streamlit, Gradio, or Dash.

Key Highlights
Lead the development of Generative AI solutions using advanced ML and NLP techniques
Analyze complex datasets and implement scalable AI models
Collaborate with cross-functional teams to define AI strategies and implement production-ready systems
Technical Skills Required
Python LangChain FastAPI Flask Pinecone FAISS PostgreSQL Streamlit Gradio Dash
Benefits & Perks
100% Remote work
Contractor (no legal benefits)

Job Description


Company: Orion Innovation

Location: 100% Remote (LATAM candidates welcome)

Type of Contract: Contractor (no legal benefits)

About the Role

We are looking for a Data Scientist (GenAI) to join our innovation team at Orion Innovation. This role involves designing, training, and deploying next-generation AI solutions, leveraging large language models (LLMs) and modern data engineering tools to drive automation and intelligence across enterprise systems.


Key Responsibilities

  • Lead the development of Generative AI (GenAI) solutions using advanced ML and NLP techniques.
  • Analyze complex datasets and implement scalable AI models.
  • Design and optimize prompt engineering strategies and RAG pipelines.
  • Collaborate with cross-functional teams to define AI strategies and implement production-ready systems.
  • Work with LLMs, vector databases, and document processing frameworks.
  • Develop and deploy applications using Streamlit, Gradio, or Dash.

Requirements

  • Proven experience as a Data Scientist or ML Engineer with focus on AI/LLM-based models.
  • Strong proficiency in Python and frameworks such as LangChain, FastAPI, Flask, or similar.
  • Experience with vector databases (e.g., Pinecone, FAISS) and PostgreSQL.
  • Knowledge of model fine-tuning, deployment platforms, and evaluation techniques.
  • Familiarity with Generative AI frameworks and AI agents.

Nice to Have

  • Hands-on experience with model evaluation, orchestration, and automation.
  • Experience developing data visualization or AI dashboards.
  • Familiarity with LLM lifecycle management.


Subscribe our newsletter

New Things Will Always Update Regularly