Machine Learning Engineer
Tasks
- Build RAG solutions
- Build production machine learning and generative AI solutions
- Collaborate with engineering and data science teams on cloud platform implementation
- Deploy models on Ascend platform
- Develop prompt engineering and fine-tuning workflows
- Document and communicate model methodologies and metrics
- Implement machine learning dashboards and analytics applications
- Implement supervised unsupervised deep learning and graph analytics methods
- Partner with data scientists on model development
- Perform model evaluation and testing
Perks/Benefits
- Additional health insurance
- Birthday gift
- Career Development Programs
- Corporate discounts
- Employee assistance program
- Flex allowance
- Flexible working hours
- Food vouchers
- Health insurance
- Home office
- Internet coverage
- Learning access
- Life insurance
- Marriage and childbirth or adoption allowance
- Multisport card
- Paid vacation
- Sharesave plan
- Work Life Balance Additional Day Off
Skills/Tech-stack
AWS | Anomaly Detection | Automated testing | Code review | Deep learning | Distributed Computing | Fine Tuning | Generative AI | Graph analytics | Machine Learning | Model Evaluation | Model Governance | Model Risk Management | Model risk | Modular Design | Prompt engineering | PySpark | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Risk Management | Spark | Statistical modeling | Supervised Learning | Unsupervised Learning | Version control
Education
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