Posted:1 week ago|
Platform:
On-site
Full Time
. Proficient in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.).
. Strong understanding of ML algorithms (regression, classification, clustering, NLP)
. Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch).
. Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI is a plus.
. Experience with cloud platforms such as AWS, Azure, or GCP.
. Solid knowledge of data processing, feature engineering, and model tuning.
. Exposure to deploying models in production using REST APIs or containerized
environments (Docker, Kubernetes).
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