ST Global Tech LLC
ML/DL Engineer with Timeseries Data Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML/DL Engineer with timeseries data experience, onsite in Atlanta, GA. The contract is W2 or 1099, focusing on model development, data pipelines, and scalable systems. Key skills include Python, AWS, and deep learning expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Pandas #ML (Machine Learning) #Datasets #Forecasting #Data Engineering #Python #Anomaly Detection #PyTorch #Data Pipeline #PySpark #Deployment #Scala #Data Processing #Spark (Apache Spark) #NumPy #Deep Learning #TensorFlow #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Monitoring
Role description
Role: ML/DL Engineer with Timeseries data experience
Atlanta, GA - Onsite
W2 and 1099 Only
• Model Development: Design, build, train, and optimize ML/DL models for time-series forecasting, prediction, anomaly detection, and causal inference.
• Data Pipelines: Create robust data pipelines for collection, preprocessing, feature engineering, and labeling of large-scale time-series data.
• Scalable Systems: Architect and implement scalable AI/ML infrastructure and MLOps pipelines (CI/CD, monitoring) for production deployment.
• Collaboration: Work with data engineers, software developers, and domain experts to integrate AI solutions.
• Performance: Monitor, troubleshoot, and optimize model performance, ensuring robustness and real-world applicability.
• Languages & Frameworks: Good understanding of AWS Framework, Python (Pandas, NumPy), PyTorch, TensorFlow, Scikit-learn, PySpark.
• ML/DL Expertise: Strong grasp of time-series models (ARIMA, Prophet, Deep Learning), anomaly detection, and predictive analytics
• Data Handling: Experience with large datasets, feature engineering, and scalable data processing.
Role: ML/DL Engineer with Timeseries data experience
Atlanta, GA - Onsite
W2 and 1099 Only
• Model Development: Design, build, train, and optimize ML/DL models for time-series forecasting, prediction, anomaly detection, and causal inference.
• Data Pipelines: Create robust data pipelines for collection, preprocessing, feature engineering, and labeling of large-scale time-series data.
• Scalable Systems: Architect and implement scalable AI/ML infrastructure and MLOps pipelines (CI/CD, monitoring) for production deployment.
• Collaboration: Work with data engineers, software developers, and domain experts to integrate AI solutions.
• Performance: Monitor, troubleshoot, and optimize model performance, ensuring robustness and real-world applicability.
• Languages & Frameworks: Good understanding of AWS Framework, Python (Pandas, NumPy), PyTorch, TensorFlow, Scikit-learn, PySpark.
• ML/DL Expertise: Strong grasp of time-series models (ARIMA, Prophet, Deep Learning), anomaly detection, and predictive analytics
• Data Handling: Experience with large datasets, feature engineering, and scalable data processing.
