Lead Machine Learning Engineer
Tasks
- Automate ML workflows
- Build ML workflows
- Build scalable data processing systems
- Collaborate with data scientists
- Deploy machine learning models
- Design machine learning models
- Develop machine learning pipelines
- Evaluate machine learning models
- Implement CI/CD for ML
- Implement MLOps practices
- Implement model versioning
- Monitor model performance
- Optimize model performance
- Optimize model reliability
- Optimize model scalability
- Perform data preprocessing
- Perform feature engineering
- Productionize machine learning models
- Retrain models in production
- Use distributed computing
- Work with large datasets
Perks/Benefits
- Access to online learning courses
- Career guidance
- Elder care
- Flexible work
- Health checks
- Insurance top-ups
- New parent support
- Partner coverage
- Telemedicine
- Wellness benefits
Skills/Tech-stack
API | AWS | Algorithms | Azure | CI/CD | Data Structures | GCP | Git | Machine Learning | Microservices | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | Statistics | System design | TensorFlow
Education
N/A
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