Senior MLOps Engineer

A company is looking for a Senior MLOps Engineer.

Key Responsibilities

Design, build, and maintain ML Ops pipelines for model training, validation, and deployment in AWS environments

Implement automation for model packaging, testing, deployment, and monitoring using CI / CD best practices

Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem

Required Qualifications

Bachelor's Degree in Computer Science, Data Engineering, or a related technical field or equivalent experience

4+ years of professional experience in software, data, or ML engineering

2+ years of direct experience implementing and maintaining ML pipelines in production

Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn

Hands-on experience with AWS services (SageMaker, Step Functions, Lambda, etc.)