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Job summary
A technology company in Atlanta is seeking a skilled ML Engineer with expertise in time-series modeling and data pipelines. The role involves designing, building, and optimizing machine learning models for forecasting and anomaly detection, as well as architecting scalable infrastructure for production. Candidates should be proficient in AWS, Python, and various ML frameworks. This contract position requires on-site presence from day one.
Qualifications
Strong grasp of time-series models like ARIMA and Prophet.
Experience with large datasets and scalable data processing.
Ability to create robust data pipelines and optimize model performance.
Responsibilities
Design, build, train, and optimize ML/DL models for time-series forecasting.
Create robust data pipelines for large-scale time-series data.
Architect scalable AI/ML infrastructure for production deployment.
Skills
Time-series modeling expertise
AWS Framework
Python (Pandas, NumPy)
PyTorch
TensorFlow
Scikit-learn
PySpark
Job description
A technology company in Atlanta is seeking a skilled ML Engineer with expertise in time-series modeling and data pipelines. The role involves designing, building, and optimizing machine learning models for forecasting and anomaly detection, as well as architecting scalable infrastructure for production. Candidates should be proficient in AWS, Python, and various ML frameworks. This contract position requires on-site presence from day one.