machine learning engineer

What requirements you'll need to be eligible

• Design and implement machine learning algorithms for predictive analytics and automation.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build, train, and evaluate models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Deploy models into production environments and monitor performance.
• Collaborate with data engineers and software developers to integrate ML solutions into applications.
• Stay updated with the latest advancements in AI/ML technologies and tools.
• Build ML models to validate issue resolution tagging.
• Compare transcription of issue raised vs closure remark vs actual root cause.
• Provide % accuracy of correctly tagged resolutions.
• Experience in data ingestion, transformation, and orchestration.
• Understanding of data pipelines and governance.
• Ability to prepare large datasets for ...