
Data Scientist Intern
Posted 1 day ago

Posted 1 day ago
• Assist in the development of AI applications through code enhancement, algorithm exploration, and the creation of algorithms.
• Work in close collaboration with cross-functional teams in AI, data engineering, product development, and marketing to design, prototype, and implement intelligent systems.
• Conduct discovery and research to improve application performance.
• Evaluate implementation decisions with respect to product or business-related factors.
• Develop unit tests for standalone modules and services.
• Contribute to codebases while adhering to version control best practices through GitHub.
• Document methodologies and codebases for knowledge sharing, overall understanding, and collaboration.
• Strong proficiency in Python with a good understanding of Object Oriented Programming.
• Knowledge of Large Language Models (LLMs) including their application, typical constraints, and evaluation methods.
• Comprehension of context and memory management within LLMs and/or agentic workflows.
• Exceptional verbal and written communication skills for effective collaboration with both technical and non-technical stakeholders.
• Experience utilizing GitHub for version control, issue tracking, pull requests, code reviews, and collaborative development processes.
• A genuine passion for gaming.
• Ability to thrive in a fast-paced, high-pressure, and agile environment.
• Practical experience with databases such as PostgreSQL, Redis, and Neo4j.
• Familiarity with messaging services and protocols such as HTTP, MQTT, and AMQP.
• Knowledge of, or experience in, developing stateless systems.
• Flexible work arrangements.
• Opportunities for professional development.
AbbVie
InPost Group
Syneos Health
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