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1 day ago
As a senior machine learning engineer, you will be responsible for developing and deploying scalable machine learning models using Python and popular libraries like TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.
About the RoleYou will leverage your expertise in productizing and deploying machine learning solutions to drive business growth. Your primary focus will be on developing and integrating machine learning models into our platform.
Key Responsibilities- Develop and deploy scalable machine learning models using Python and popular libraries.
- Collaborate with cross-functional teams to integrate machine learning solutions into our platform.
- Design and implement model monitoring, detecting variations, and managing retraining/redeployment processes.
- Stay up-to-date with the latest advancements in machine learning and NLP, and apply this knowledge to improve our platform.
- Experience in productizing and deploying machine learning solutions.
- Thorough understanding of the full ML pipeline, from data collection to inference.
- Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.
- Proficiency in Python and experience with popular ML frameworks/libraries.
- Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.
We offer a dynamic work environment that fosters innovation and collaboration. Our team is passionate about delivering high-quality solutions that drive business results. If you are a skilled machine learning engineer looking for a challenging role, we encourage you to apply.
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