5 years of experience in MLOps and building ML pipelinesDeep understanding of the MLOps lifecycle and automation of ML workflowsProficient in Python 310 and related libraries such as pandas NumPy and TensorFlowStrong experience in GPU accelerators and CUDA for model training and optimizationProven experience in model monitoring drift detection and maintaining model accuracy over timeFamiliarity with CICD pipelines Docker Kubernetes and cloud infrastructureStrong problem solving skills with the ability to work in a fastpaced environmentPreferred Qualifications
- Experience with tools like Evidently AI for model monitoring and drift detection
- Knowledge of data versioning and model version control techniques
- Familiarity with TensorFlow Extended TFX or other ML workflow orchestration frameworks
Excellent communication and collaboration skills with the ability to work crossfunctionally across teams
Skills Required
Tensorflow, MLops, Model Monitoring, Docker, Python, Kubernetes, Cuda