Machine Learning Scientist
Tasks
- Apply automated testing
- Apply reinforcement learning
- Apply supervised and unsupervised learning
- Build machine learning models
- Build retrieval-augmented generation pipelines
- Collaborate on machine learning and AI applications
- Conduct anomaly detection
- Deploy machine learning models
- Design and implement algorithms
- Design machine learning solutions
- Develop production code
- Document model methodology and results
- Evaluate generative models
- Execute production models on Ascend platform
- Extract insights from structured and unstructured data
- Fine-tune generative models
- Gather client feedback for ML enhancements
- Implement modular design and version control
- Implement prompt engineering
- Perform deep learning
- Perform graph analytics
- Prototype generative AI capabilities
Perks/Benefits
- Additional health insurance
- Birthday gift
- Corporate discounts
- Employee assistance program
- Flexible working hours
- Food vouchers
- Home office
- Internet coverage
- Learning and development programs
- Life insurance
- Marriage and childbirth or adoption allowance
- Multisport card
- Paid vacation
- Participation in social responsibility paid days
- Sharesave plan
- Unlimited online training courses
Skills/Tech-stack
AWS | Anomaly Detection | Automated testing | Code Reviews | Data Engineering | Deep learning | Distributed Computing | Fine Tuning | Generative AI | Governance | Graph analytics | LLM | Language Processing | Machine Learning | Model Evaluation | Model Risk Management | Model risk | Modular Design | Natural Language | Natural Language Processing | Prompt engineering | PySpark | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Risk Management | SAS | Spark | Statistical modeling | Supervised Learning | Unsupervised Learning | Version control
Education
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