ML Engineer Timeseries data

ML Engineer with Time series 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, Num Py), PyTorch, Tensor Flow, 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.

Not Applicable

Contract

IT Services and IT Consulting, Information Services, and Technology, Information and Media