
ML Workflow Engineer
1 week ago
This highly specialized position is focused on productizing and deploying cutting-edge Machine Learning solutions. The ideal candidate will have a thorough understanding of the full ML pipeline, from data collection to inference.
- Responsibilities:
- Develop and implement scalable ML models for real-world applications.
- Conduct thorough research and analysis to identify opportunities for improvement in existing ML workflows.
- Analyzing data to inform strategic decisions and drive business growth.
Requirements:
- Technical Skills:
- Proficiency in Python and experience with popular ML frameworks such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.
- Hands-on experience with Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Mathematics, or related field.
- Experience working with cloud-based platforms such as AWS or Google Cloud.
- Familiarity with DevOps practices and containerization using Docker.
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Automation Engineer
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