Machine Learning Engineer
Tasks
- Add automated testing
- Apply Deep Learning methods
- Build machine learning models
- Build production code
- Collaborate with cross-functional teams
- Communicate model outcomes to stakeholders
- Conduct code reviews
- Deploy machine learning models
- Design machine learning solutions
- Design supervised learning models
- Develop generative AI prototypes
- Document model assumptions and results
- Evaluate model performance
- Fine-tune generative AI models
- Implement RAG systems
- Implement unsupervised learning models
- Integrate models with AWS platforms
- Perform anomaly detection
- Process structured and unstructured data
- Use graph analytics
- Use reinforcement learning
- Use version control
- Write modular code
Perks/Benefits
- Corporate discounts
- Employee assistance program
- Flex allowance
- Flexible working hours
- Food vouchers
- Health insurance
- Home office
- Internet coverage
- Life insurance
- Paid vacation
Skills/Tech-stack
AWS | Anomaly Detection | Apache Spark | Automated testing | Code review | Deep learning | Distributed Computing | Fine Tuning | Generative AI | Graph analytics | Model Evaluation | Prompt engineering | PySpark | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | SAS | Supervised Learning | Unsupervised Learning | Version control
Education
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