Skills
Experience: 2-3 years of hands-on experience in MLOps, Dev Ops, or Software
Engineering with a focus on ML systems.
Programming: Solid proficiency in Python and familiarity with shell scripting.
ML Frameworks: Solid understanding of ML libraries (e.g., Tensor Flow, PyTorch, Scikit-
Learn) and tracking tools (e.g., MLflow, Weights & Biases).
Dev Ops Tools: Experience with Docker, Kubernetes, and CI/CD tools (e.g., Git Hub
Actions, Jenkins, or Git Lab CI).
Cloud Platforms: Familiarity with AWS (Sage Maker), GCP (Vertex AI), or Azure
(Machine Learning).
📌 Mlops (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India
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