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Data Engineer

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Sanrnd
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

San R&D Business Solutions LLC | Full time

Charlotte, United States | Posted on 02/10/2026

Open to locals of North Carolinaonly

About the Role:

We are seeking a Data Engineer with strong Python and AI/ML platform experience to design, build,and deploy data-driven and machine-learning solutions. The ideal candidate willhave hands-on expertise in ML frameworks, NLP, and Generative AI , andwill work closely with engineering, product, and business teams to deliverscalable and impactful solutions.

Key Responsibilities:
  • Design and conduct experiments totest hypotheses and validate model assumptions.
  • Analyze experimental results and provide recommendations for model and process optimization.
  • Develop and deploy machine learningmodels including clustering, classification, and regression .
  • Apply data mining techniques to extract insights from structured and unstructured data.
  • Identify patterns and anomalies foruse cases such as fraud detection, customer behavior prediction, and process optimization .
  • Perform feature engineering, modelselection, and hyperparameter tuning .
  • Evaluate and monitor model performance using metrics such as accuracy, precision, recall, and F1score .
  • Build and support production-ready

    ML pipelines
    using Python and AI/ML frameworks.
  • Collaborate with cross-functional teams including engineers, product managers, and business stakeholders.
  • Document experiments, models, and technical approaches.
Required Skills &

Qualifications:
  • Strong hands-on experience with Python .
  • Proven experience with AI/MLframeworks such as Tensor Flow and Py Torch .
  • Solid understanding of NLP, Large Language Models (LLMs), and Generative AI .
  • Experience implementing machine learning algorithms and experimental workflows.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex technical concepts clearly.
Preferred

Skills:
  • Experience with No

    SQL databases
    .
  • Exposure to Kafka or event-drivendata pipelines .
  • Experience working with large-scaledata environments.
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