Job Title: ML OPS Engineer
Job Location: Hybrid

Job Type: Full Time

Qualifications

• Bachelor s degree in Computer Science or Software Engineering
• Having 7 years in Software Engineering
• Hands-on experience working with at least one cloud (AWS)
• Ability to build MLOps pipelines on AWS Sage Maker.
• Hands-on DevOps experience CI/CD in Jenkins, Bitbucket, Kubernetes, and OpenShift.
• Good to have in-depth knowledge of machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with Agile development and delivery Scrum, Lean, XP, Kanban methodologies.
• Proficiency in modern programming languages such as Python.
• AWS Machine Learning certification is a huge plus