- Development and deployment of machine learning models.
- Collaborate with cross-functional teams to uncover opportunities for leveraging company data.·
- Manage projects from conceptualization to deployment, ensuring models are scalable, efficient, and seamlessly integrated into production environments.
- Optimize model performance and data processing workflows within Databricks, adhering to best practices for data engineering and model management.
- Stay informed about the latest advancements in AI and machine learning, incorporating innovative tools and techniques into our data science practices.
- Articulate and document findings and model developments.
- Master's or PhD in Computer Science, Statistics, Engineering, or a related field or equivalent work experience.
- At least 3 years of experience in data science, with a proven track record in deploying production-level machine learning models.
- Experience working in retail, marketing, or e-commerce, automotive industry preferred.
- Expertise in Databricks for comprehensive data analysis, model development, and deployment, including proficiency with MLflow for model lifecycle management.
- Strong programming skills in Python (5+ years preferred) or Scala, and experience with relevant libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and Hugging Face Transformers for LLMs.
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Excellent problem-solving capabilities and the ability to communicate technical concepts effectively.
- Competitive salary
- Health, Dental, Vision
- 401(k) retirement plan
- Paid holidays and unlimited PTO
- Friendly and inclusive work environment
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Data Scientist - Los Angeles, United States - CariD
Description
Job Description
Job DescriptionData Scientist: CARiD is a dynamic and innovative organization dedicated to delivering cutting-edge solutions that drive data-driven decision-making. We're seeking an experienced Data Scientist with deep expertise in deploying machine learning models.The ideal candidate should have a good understanding of time series forecasting as well as understanding of large language models (LLMs).
Key Responsibilities:
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