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Data Science Intern
3 weeks ago
Responsibilities:
- Be involved in all stages of the data science lifecycle, including requirements gathering, experimentation and prototyping, algorithm design and implementation, and model deployment.
- Stay abreast of latest advancements in Generative AI research and technology and integrate Generative AI techniques into the data science workflow to drive business objectives.
- Research industry best practices and come up with practical solutions to help develop and/or improve current workflow.
- Work closely with upstream and downstream stakeholders such as software developers and business users.
- Deploy and manage machine learning models on commercial clouds like AWS and GCP using techniques like automation, containers, and infrastructure as code (IaC).
Requirements:
- Bachelor's or Master's degree in disciplines related to Software Engineering/Data Engineering/Data Science (e.g. Mathematics, Statistics, Computer Science, or Operations Research) or equivalent qualifications.
- General understanding of Generative AI, visualizations, machine learning models and algorithms and their applications in a business context.
- Strong interpersonal skills and willingness to give and receive feedback.
- Experience with any of the technologies we are currently using: Python, LangChain, OpenAI, Django, FastAPI, PostgreSQL, GCP and anything else you can bring to the table.
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