Job Responsibilities:
- Design, build, and optimize machine learning models and algorithms to solve specific business problems.
- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
- Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
- Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
- Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
- Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.
Requirements:
- Education qualification in Computer Science, Data Science, Machine Learning or relevant field
- At least 3 - 4 years' work experience in designing, developing, and deploying machine learning models in real-world applications
- Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to [email protected] for immediate processing.
Only shortlisted candidates will be notified.
