Design, build, and maintain scalable MLOps pipelines for model training, evaluation, and deployment
Containerize machine learning applications using Docker for reproducible deployments
Optimize deep learning models for inference performance and manage ML models at scale
Required Qualifications:
Bachelor's in Computer Science, Engineering, or a related field
Proven experience in an MLOps or similar role with a focus on machine learning
Strong programming skills in Python and/or C++
Hands-on experience with model optimization techniques and frameworks
Experience with deep learning frameworks such as PyTorch or TensorFlow
Average salary estimate
$100000
/ YEARLY (est.)
min
max
$80000K
$120000K
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