Senior AI/ ML Engineer
Tasks
- Apply MLOps best practices
- Build and deploy machine learning models
- Build data pipelines for feature engineering
- Conduct code reviews
- Deploy models to production
- Design scalable Artificial Intelligence solutions
- Develop and tune machine learning models
- Ensure AI security and governance
- Evaluate new AI techniques
- Implement retraining strategies
- Integrate AI into enterprise applications
- Mentor junior engineers
- Monitor model performance
- Optimize model performance
- Train and evaluate machine learning models
- Translate business requirements into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | CI/CD | Cloud Computing | Computer Vision | Containers | Data Processing | Deep learning | Distributed Computing | Feature Engineering | Generative AI | Hyperparameter Tuning | Language Processing | MLOps | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Model Optimization | Natural Language | Natural Language Processing | PyTorch | Python | REST APIs | Retraining | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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