Sr. Engineer, Machine Learning
Tasks
- Apply machine learning to large datasets
- Build end-to-end machine learning pipelines
- Build machine learning API services
- Clean preprocess datasets
- Create automated test suites
- Deploy and integrate models into production
- Design machine learning models
- Develop full stack solutions
- Develop machine learning algorithms
- Develop reusable machine learning libraries
- Evaluate and optimize model accuracy
- Lead prototypes to production
- Mentor junior engineers
- Mitigate model bias
- Monitor model usage and performance
- Participate in AI research and development
Perks/Benefits
- Charity support programs
- Personal and professional growth
- Recognition programs
- Time away from work programs
- Volunteer days
- Wellness initiatives
Skills/Tech-stack
AWS | Azure | Bias Mitigation | CI/CD | Data Preprocessing | Deep learning | Delta Tables | Docker | Ensemble Methods | FastAPI | Feature Engineering | Flask | GCP | GraphQL | Keras | MSSQL | Machine Learning | Model Monitoring | NLP | NoSQL | PySpark | PyTorch | Python | React | Reinforcement Learning | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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