Data Scientist and AI Specialist

NexOne, Inc.

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in Data Science, Machine Learning, or AI, focusing on NLP and generative AI.
  • Advanced proficiency in Python scripting and ML libraries.
  • BS in a relevant technical domain.

Responsibilities

  • Design and optimize LLM applications via APIs and frameworks.
  • Architect and manage vector database infrastructure for semantic search.
  • Develop Knowledge Graphs to structure complex data and improve context retrieval.
  • Automate data ingestion, preprocessing, and model evaluation through Python scripting.
  • Collaborate with cross-functional teams to deploy AI models in production environments.

Benefits

  • Innovative work environment with cutting-edge technology.
  • Opportunity to work with advanced AI solutions.
  • Cross-functional collaboration with a team of experts.
  • Focus on impactful projects that drive business outcomes.
Full Job Description
About the Role

We are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact.
Key Responsibilities
  • LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).
  • Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.
  • Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).
  • Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.
  • Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.
Required Qualifications
  • Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.
  • Programming: Advanced proficiency in Python scripting and modern ML libraries
  • Education: BS in Technical Domain

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