Data Science Internship
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Job Description
Data science intern developing generative AI applications and production AI features. Supporting Datacor’s ERP, CRM, and manufacturing software through LLMs, NLP, and data pipelines.
Responsibilities:
- Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications
- Lead MVP development using a test-and-learn approach with cross-functional teams
- Iterate from problem framing to prototyping and deploying production-grade solutions
- Deliver reliable, scalable AI features in production
- Build prototypes and develop data pipelines for deployment
- Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback
- Clearly communicate efforts and impact to technical and business audiences
Requirements:
- Currently enrolled in a Master’s or PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields
- Experience in a professional environment, including prior internship experience is preferred
- Expertise in the latest Large Language Models (LLMs) and AI advancements
- Proactive in staying updated with evolving AI trends and new LLM releases
- Skilled at diagnosing and solving complex, ambiguous problems with a product-focused mindset
- Strong communication and presentation skills, able to convey complex analysis clearly and actionably
- Results-oriented, creative thinker who takes initiative and delivers practical solutions
- Committed to inclusivity and respecting diverse perspectives
- Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models
- Familiarity with cloud computing and AI deployment on AWS or Google Cloud
- Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience
- Proficient in Python and C++/Java programming through academic or work experience
- Ability to work independently and within a team
Benefits:
- Remote internship arrangement
- Potential travel, depending on location, schedule, and business needs
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