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Job description
ML Engineer with Timeseries data experience
Direct message the job poster from PDSSOFT INC.
Location: Atlanta, GA--Day1 onsite
Job Description
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.
Seniority level
Not Applicable
Employment type
Contract
Job function
IT Services and IT Consulting, Information Services, and Technology, Information and Media
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Worksite address
atlanta, GA, 30383, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.