As an AI/ML Engineer, you will be responsible for developing and deploying machine learning models that solve real-world problems, drive automation, and provide data-driven insights to transform business operations.
Key Responsibilities
- Design, develop, and implement machine learning algorithms tailored to specific use cases
- Work with large-scale datasets to extract features and build predictive models
- Collaborate with data engineers and scientists to streamline data pipelines
- Develop deep learning architectures using TensorFlow, PyTorch, or Keras
- Integrate ML models into production environments with APIs and scalable systems
- Research the latest AI trends and propose innovative solutions
- Tune hyperparameters to optimize model accuracy and efficiency
- Perform exploratory data analysis and data visualization for model evaluation
- Monitor model performance and retrain models as needed
- Translate business requirements into technical specifications
- Ensure ethical AI practices and reduce model bias
- Use NLP techniques for chatbots, sentiment analysis, and document classification
- Participate in sprint planning and Agile ceremonies
- Maintain clear documentation of models, processes, and workflows
- Communicate findings and insights to stakeholders in a clear, actionable manner
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