Senior Machine Learning Engineer
Tasks
- Build and maintain scalable machine learning solutions in production
- Collaborate to build implement and scale machine learning algorithms
- Develop deep learning models using Keras and TensorFlow
- Develop machine learning models using statistical modeling and ensemble methods
- Implement MLOps workflows for data preparation deployment monitoring and retraining
- Integrate models into CI CD processes with monitoring and retraining
- Liaise with stakeholders to analyse business problems
- Perform data modeling and evaluation to predict unseen instances
- Research and implement machine learning algorithms using appropriate libraries
- Train models on large scale data and fine tune hyperparameters
- Translate business requirements into system architecture
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CodePipeline | Azure | CI/CD | Cloud platform | Deep learning | Docker | Generative AI | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Jenkins | Keras | Kubernetes | Language Processing | MLOps | Machine Learning | Model Deployment | Model Monitoring | MySQL | Natural Language | Natural Language Processing | NumPy | OpenCV | Pandas | PyTorch | Python | R | Relational databases | SQL | SciPy | Scikit-learn | SparkML | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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