MLops Engineer

• 5 years of experience inMLOpsand building ML pipelines
• Deep understanding of the MLOps lifecycle and automation of ML workflows
• Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow
• Strong experience in GPU accelerators and CUDA for model training and optimization
• Proven experience in model monitoring drift detection and maintaining model accuracy over time
• Familiarity with CICD pipelines Docker Kubernetes and cloud infrastructure
• Strong problem solving skills with the ability to work in a fastpaced environment

Preferred 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