Description

Automate machine learning workflows and manage the end-to-end lifecycle of deployed models.

This role is remote.

Responsibilities

• Automate ML workflows from data preparation and training to deployment and monitoring.
• Implement CI/CD pipelines specifically for machine learning systems.
• Monitor deployed model performance to ensure accuracy and efficiency.
• Develop best practices for model versioning, testing, and deployment.
• Collaborate with data scientists to integrate new MLOps technologies.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python; familiarity with R, Java, or Scala.
• Experience with TensorFlow, PyTorch, or Keras.
• Strong understanding of data processing using Pandas, NumPy, or Apache Spark.
• Hands-on experience with Docker and Kubernetes.
• Proficiency with CI/CD tools (Jenkins, GitLab CI/CD, Travis CI, or CircleCI).
• Experience with AWS services, including SageMaker.
• Knowledge of configuration management (Ansible, Chef, or Puppet).

Preferred Skills

• Understanding of MLOps principles for model deployment and management.
• Any Graduate.

Key Skills

Education

Any Graduate