Company Description.
Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs.
Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance.
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.
Key Responsibilities
- Build and productize robust machine learning models, ensuring high performance in production environments.
- 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.
- Apply Natural Language Processing (NLP) techniques to real-world problems including text classification, entity extraction, and content summarization.
- Ensure that solutions adhere to security, compliance, and governance standards.
- 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 ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.
- Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.
- Must be located in commutable distance to Chennai, Tamil Nadu, India.
Experience
(ref:hirist.tech)
