Software Engineer

Job Title

Optimize and productionize machine learning models for deployment to endpoints, ensuring real-time inference capabilities. Oversee the full lifecycle of machine learning project architecture implementation including design, coding and debugging. Implement monitoring solutions to track model performance in production, detecting data drift and anomalies. Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. Work with other software and ML engineers to tackle challenging AI problems. Participate in Pair Programming for cross training/upskilling, problem solving and speed to delivery. Leverage latest ML and GCP technologies. Work with architects to make technical decision on tools, integration and other issues. Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform. Use Python, SQL, TensorFlow, PyTorch, Scikit-learn, Keras, NLTK, Pandas, NumPy, Google Cloud Platform, Windows, Linux, Docker, Kubernetes, OpenShift, Terraform, Tekton, Jupyter Notebooks, ML Flow, Airflow. Work Location: Various unanticipated work locations throughout the United States; relocation may be required. Must be willing to relocate. Minimum Requirements: Education: Master -- Computer Science or Computer Engineering Experience: One (1) year