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 time-series data experience, onsite in Atlanta, GA. The contract length and pay rate are unspecified. Key skills include Python, AWS, PyTorch, TensorFlow, and strong expertise in time-series models and data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Datasets #Scala #Data Pipeline #PyTorch #Forecasting #PySpark #Data Processing #Monitoring #Spark (Apache Spark) #Deployment #TensorFlow #AWS (Amazon Web Services) #Deep Learning #Anomaly Detection #ML (Machine Learning) #Data Engineering #AI (Artificial Intelligence) #Python #NumPy #Pandas
Role description
Role: ML/DL Engineer with Timeseries data experience
Atlanta, GA - Onsite
Need Passport number - Only H1B and H4 EAD
• 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
Need Passport number - Only H1B and H4 EAD
• 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.
