Data Engineer

San R&D Business Solutions LLC•Charlotte, NC

3d•Hybrid

About The Position

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 will have hands-on expertise in ML frameworks, NLP, and Generative AI, and will work closely with engineering, product, and business teams to deliver scalable and impactful solutions.

Requirements

Strong hands-on experience with Python.
Proven experience with AI/ML frameworks such as TensorFlow and PyTorch.
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.

Nice To Haves

Experience with NoSQL databases.
Exposure to Kafka or event-driven data pipelines.
Experience working with large-scale data environments.

Responsibilities

Design and conduct experiments to test hypotheses and validate model assumptions.
Analyze experimental results and provide recommendations for model and process optimization.
Develop and deploy machine learning models including clustering, classification, and regression.
Apply data mining techniques to extract insights from structured and unstructured data.
Identify patterns and anomalies for use cases such as fraud detection, customer behavior prediction, and process optimization.
Perform feature engineering, model selection, and hyperparameter tuning.
Evaluate and monitor model performance using metrics such as accuracy, precision, recall, and F1 score.
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.