VLS Systems Inc
Must Be NC Resident with DL || Date Engineer || W2 Role
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a W2 Data Engineer position for NC residents, requiring expertise in Python, TensorFlow, PyTorch, and machine learning. The contract length and pay rate are unspecified. Key skills include data mining, NoSQL databases, and experience with NLP and GenAI.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Databases #AI (Artificial Intelligence) #ML (Machine Learning) #NLP (Natural Language Processing) #TensorFlow #"ETL (Extract #Transform #Load)" #Regression #NoSQL #PyTorch #Classification #Data Mining #Python #Data Engineering #Kafka (Apache Kafka) #Clustering
Role description
Data Engineer with- Python, TensorFlow, PyTorch, GenAI
Software developer with hands-on experience on Python and AI/ML platforms
Design and conduct experiments to test hypotheses and validate model assumptions
Analyze experimental results and provide recommendations for further optimization.
Implement clustering, classification, regression, and other machine learning
algorithms as needed.
Apply data mining techniques to extract actionable insights from structured and
unstructured data.
Identify patterns and anomalies in data to detect fraud, predict customer behavior,
or optimize business processes.
Develop and deploy predictive models using machine learning algorithms.
Perform feature engineering, model selection, and hyperparameter tuning to optimize
model performance.
Evaluate model accuracy, precision, recall, and other performance metrics
Collaborate with cross-functional teams, including engineers, product managers,
and business stakeholders
Python
TensorFlow, PyTorch
NLP, LLM, GenAI
NoSQL Databases
Kafka
Data Engineer with- Python, TensorFlow, PyTorch, GenAI
Software developer with hands-on experience on Python and AI/ML platforms
Design and conduct experiments to test hypotheses and validate model assumptions
Analyze experimental results and provide recommendations for further optimization.
Implement clustering, classification, regression, and other machine learning
algorithms as needed.
Apply data mining techniques to extract actionable insights from structured and
unstructured data.
Identify patterns and anomalies in data to detect fraud, predict customer behavior,
or optimize business processes.
Develop and deploy predictive models using machine learning algorithms.
Perform feature engineering, model selection, and hyperparameter tuning to optimize
model performance.
Evaluate model accuracy, precision, recall, and other performance metrics
Collaborate with cross-functional teams, including engineers, product managers,
and business stakeholders
Python
TensorFlow, PyTorch
NLP, LLM, GenAI
NoSQL Databases
Kafka
