MLOps Engineer - Python/Deep Learning (2-10 yrs)

Job Description :

- Maintaining the infrastructure that supports the ML models and algorithms

- Version control of various ML models deployed in large scale distributed cloud and OnPrem systems

- Monitoring the performance of ML systems.

- Identifying ways to improve ML model performance.

- Troubleshoot any errors or bugs that may occur.

Qualifications :

- Bachelors or Masters degree and/or equivalent professional experience.

- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)

- Fluency in Python

- Experience working with cloud computing and database systems

- Experience building custom integrations between cloud-based systems using APIs

- Experience developing and maintaining ML systems built with open source tools

- Experience developing with containers and Kubernetes in cloud computing environments

- Familiarity with one or more data-oriented workflow orchestration frameworks (Kube Flow, Airflow, Argo, etc.)

- Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Kera's, etc.)

- 2-5 years experience building production-quality software