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ML Engineer with Timeseries data experience

LinkedIn PDSSOFT INC. • Atlanta, GA
Not Applicable Posted Feb. 27, 2026 Job link
Responsibilities

On the AI/ML team at PDSSOFT INC., you’ll design, build, train, and optimize ML/DL models for time-series forecasting, prediction, anomaly detection, and causal inference, while developing robust data pipelines for large-scale time-series data. You will architect and implement scalable AI/ML infrastructure and MLOps pipelines for production deployment, collaborate closely with data engineers, software developers, and domain experts to integrate AI solutions, and continuously monitor, troubleshoot, and optimize model performance for robustness and real-world applicability.

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Requirements
  • ML Engineer with Timeseries data experience
  • 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.
Preferred Skills
  • 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.