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<p><p><b>Company Description.</b><br/><br/> Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs.<br/><br/> Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance.<br/><br/> Giggso is web 3.0 and blockchain-enabled, consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions.</p><p><br/></p><p>Key Responsibilities :</p><p><br/></p><p>- Build and productize robust machine learning models, ensuring high performance in production environments.</p><p><br/></p><p>- Design and implement systems for model monitoring, performance drift detection, and automated Collaborate with cross-functional teams to operationalize AI/ML pipelines, enabling end-to-end observability and auditability.</p><p><br/></p><p>- Apply Natural Language Processing (NLP) techniques to real-world problems including text classification, entity extraction, and content summarization.</p><p><br/></p><p>- Ensure that solutions adhere to security, compliance, and governance standards.</p><p><br/>- Thorough understanding of the full ML pipeline, from data collection to inference.</p><p><br/>- Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.</p><p><br/>- Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.<br/><br/>- Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.<br/><br/>- Must be located in commutable distance to Chennai, Tamil Nadu, India.<br/><br/><b>Experience :</b><br/><br/></p><p>- 3-6 years<br/></p><br/></p> (ref:hirist.tech)
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