Senior MLOps Engineer

Senior MLOps Engineer / ML Engineer (SageMaker Heavy) – Lead/Architect Level – 1 Position

Location: Irving, TX, Hybrid

Duration: Long-term Contract

Key Responsibilities:

Architect and implement end-to-end MLOps pipelines on AWS SageMaker
Productionize models (training, deployment, monitoring, retraining)
Build feature stores, model registries, and CI/CD for ML
Work with data scientists on time-series forecasting models
Must-Have Skills:

8–12+ years overall, 4+ years hands-on MLOps
AWS SageMaker (full lifecycle – notebooks, training jobs, endpoints, pipelines, model monitor)
SageMaker Feature Store, Clarify, Model Registry
Python (pandas, numpy, scikit-learn, etc.)
Jupyter Notebooks (including SageMaker Studio)
MLOps best practices (GitOps, automated retraining, drift detection)
Exposure to time-series algorithms (Prophet, ARIMA, LSTM, CNN-QR, etc.)
Good to Have:

Terraform / CloudFormation for ML infrastructure
Kubeflow or similar experience