
Machine Learning Pipeline Architect
14 hours ago
The ideal candidate for this role will have a deep understanding of machine learning, data processing, and model development.
Responsibilities:
- Develop and implement end-to-end pipelines for data processing, model building, training, and optimization.
- Deploy ML services and LLM-based services on cloud platforms, ensuring scalability and efficiency.
- Work with machine learning frameworks such as PyTorch, TensorFlow, Keras, Pandas, Scikit-Learn, Numpy, Langchain, and Hugging-Face.
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- 3-5 years of experience in ML engineering or related roles.
- Proficiency in Python, with a focus on problem-solving.
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