Data Engineer
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-02-17
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
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.
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.
Skills:
- Experience with No
SQL databases . - Exposure to Kafka or event-drivendata pipelines .
- Experience working with large-scaledata environments.
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