ML Engineer Timeseries data

ML Engineer with Time series Data Experience

Location: Hybrid in Atlanta, GA (locals preferred) |
Compensation: $58/hr on C2C, Any Visa |
Employment Type: Full-time

Seniority Level: Mid-Senior level

We are looking for an experienced Machine Learning Engineer with expertise in time‑series data to join our team. This role involves designing, building, and deploying scalable ML models for forecasting, anomaly detection, and predictive analytics.

• Design, build, train, and optimize ML/DL models for time‑series forecasting, prediction, anomaly detection, and causal inference.
• Create robust data pipelines for collection, preprocessing, feature engineering, and labeling of large‑scale time‑series data.
• Architect and implement scalable AI/ML infrastructure and MLOps pipelines (CI/CD, monitoring) for production deployment.
• Collaborate with data engineers, software developers, and domain experts to integrate AI solutions.
• Monitor, troubleshoot, and optimize model performance, ensuring robustness and real‑world applicability.

• Good understanding of AWS, Python (Pandas, Num Py), PyTorch, Tensor Flow, Scikit‑learn, PySpark.
• Strong grasp of time‑series models (ARIMA, Prophet, Deep Learning), anomaly detection, and predictive analytics.
• Experience with large datasets, feature engineering, and scalable data processing.

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