
AI Model Developer
6 days ago
Job Role
Data Science Professional- Evaluate and refine machine learning models to improve accuracy and generalizability.
- Communicate data insights to stakeholders using data visualization techniques and storytelling.
- Collaborate with cross-functional teams to integrate data science solutions into products and services.
Mission Overview
The ideal candidate will have a strong foundation in statistics, probability theory, hypothesis testing, and statistical inference. Additionally, they will possess expert-level knowledge of machine learning algorithms including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning.
Key Responsibilities- Evaluate and refine machine learning models for improved accuracy and generalizability.
- Develop and communicate actionable data insights to stakeholders.
- Collaborate with data engineers, software developers, and business stakeholders to integrate data-driven solutions.
- Masters degree in Computer Science, Statistics, Mathematics, or a related field.
- 7+ years of experience in data science and machine learning with a focus on model development and deployment.
- Expert-level knowledge of statistics, machine learning algorithms, and programming languages.
Further Requirements
- Natural Language Processing (NLP) and Computer Vision (CV) techniques.
- DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
- Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
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