Machine Learning Engineer
Tasks
- Apply Retrieval Augmented Generation
- Apply reinforcement learning
- Build deep learning models
- Build machine learning models
- Collaborate with data science and engineering teams
- Conduct anomaly detection
- Conduct code reviews
- Deploy machine learning models
- Design machine learning solutions
- Design supervised machine learning algorithms
- Design unsupervised machine learning algorithms
- Develop generative AI prototypes
- Develop production code
- Document model methodologies
- Gather client feedback for ML enhancements
- Implement modular software design
- Implement prompt engineering
- Maintain version control
- Perform graph analytics
- Perform model evaluation
- Present model performance metrics
- Write automated tests
Perks/Benefits
- Additional health insurance
- Birthday gift
- Corporate discounts
- Employee assistance program
- Flexible working hours
- Food vouchers
- Home office
- Internet coverage
- Life insurance
- Marriage and childbirth adoption allowance
- Monthly flex allowance
- Multisport card
- Paid vacation
- Sharesave plan
- Work-life balance
Skills/Tech-stack
AWS | Anomaly Detection | Automated testing | Code review | Deep learning | Fine Tuning | Graph analytics | Machine Learning | Model Evaluation | Modular Design | Prompt engineering | PySpark | Python | Reinforcement Learning | Retrieval-Augmented Generation | SAS | Spark | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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