Related skills
sql python pandas deep learning machine learning๐ Description
- Research, design, and develop generative AI models and apps.
- Collaborate with teams to identify AI-driven solutions.
- Train and fine-tune AI models on large datasets for performance.
- Optimize AI models for production deployment.
- Stay updated with AI/ML advancements.
- Collaborate with data scientists and engineers for data quality.
- Design, implement, and optimize ML algorithms for tasks like classification, prediction, and clustering.
- Develop and maintain robust AI infrastructure.
- Document technical designs, decisions, and progress to stakeholders.
- Work with cross-functional teams to productionize AI/ML models.
๐ฏ Requirements
- Master's in a quantitative field or equivalent.
- 5+ years of professional experience.
- Strong problem solving; ability to pull data from large datasets.
- Excellent verbal and written communication skills.
- Ability to work with cross-functional partners in a global company.
- Deep ML knowledge: regression, RF, k-means, boosting, neural nets, transformers.
- End-to-end deployment: training, deployment, and monitoring.
- Scalability: operate models at scale for performance and cost.
- Programming: Python and SQL or data manipulation (Pandas).
๐ Benefits
- Competitive salary and strong insurance package.
- Extensive learning and development resources.
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