Why This Role Stands Out
Advance your career as an Azure AI/ML Ops Engineer at Everest Technologies, a company known for its innovative work in the tech space, and gain exposure to cutting-edge MLOps practices. You'll thrive in this hybrid role if you have a strong background in managing ML projects end-to-end and possess expertise in Python, containerization, and ML deployment tools. This is a fantastic opportunity to further develop your skills and contribute to impactful projects within a dynamic team.
Quick Overview
Job Description
• Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
• Strong programming skills, preferably in languages like Python, Java, or Scala
• Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Experience with containerization technologies, like Docker and Kubernetes
• Familiarity with ML model deployment tools, such as MLflow or Kubeflow
• Automation of machine learning model deployment.
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