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AI​/Python Consultant

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Citadel Information Services Inc, is seeking the following. Apply via Dice today!

Job Summary

The AI/Python Developer/Engineer designs, develops, and deploys intelligent systems and machine learning models, integrating them into production-grade applications. They work closely with data scientists, engineers, and stakeholders to translate business problems into technical, AI-driven solutions.

Key Responsibilities
  • Model Development:
    Design, build, and train machine learning models and neural networks.
  • Productionization:
    Deploy AI models into production environments and integrate them with APIs and backend services.
  • Generative AI/LLMs:
    Work with Large Language Models, Retrieval-Augmented Generation (RAG) architectures, and prompt engineering.
  • Data Processing:
    Perform data cleaning, feature engineering, and preprocessing on large datasets.
  • Optimization:
    Monitor model performance, optimize for accuracy and efficiency, and reduce latency.
  • Collaboration:

    Work with cross-functional teams (data scientists, Dev Ops) to support AI-driven products.
Required Skills And Qualifications
  • Programming:
    Expert-level Python programming.
  • AI/ML Frameworks:
    Hands-on experience with PyTorch, Tensor Flow, , or Keras.
  • Libraries:
    Proficiency in data manipulation libraries such as Pandas and Num Py.
  • Web Frameworks/APIs:
    Experience with FastAPI, Flask, or Django for building API endpoints.
  • Cloud & Dev Ops:
    Familiarity with AWS, Azure, or Google Cloud Platform, as well as containerization (Docker, Kubernetes).
  • Background:
    Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
Typical “Nice to Have” Skills
  • Experience with vector databases (e.g., Pinecone, Milvus).
  • Knowledge of computer vision (OpenCV) or NLP techniques.
  • Experience with MLOps tools.
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