AI Implementation Intern
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Implementation Intern (AI/ML): Support the development and enhancement of AI-powered solutions by building and optimizing AI infrastructure, data pipelines, and centralized AI services. Focus on improving efficiency and usability of AI development, evaluating model training and evaluation pipelines, and contributing to LLM-based document parsing and search tools.
Location: Remote
Company
is an AI-native GRC platform for managing risks, audits, vendor oversight, and continuous monitoring from a single connected platform.
What you will do
- Assist engineering teams in identifying and solving AI development challenges to improve efficiency and usability.
- Support development and optimization of AI infrastructure, including pipelines for model training and evaluation.
- Contribute to centralized AI services such as document parsing, search tools, and LLM integrations.
- Evaluate system performance and help propose optimization solutions.
- Participate in team discussions to support a collaborative learning environment.
Requirements
- Currently in the final semester or completed graduation/post-graduation in Computer Science, Engineering, Data Science, or a related technical field.
- Basic understanding of machine learning concepts, data processing, and AI technologies.
- Experience with Python and familiarity with TensorFlow, PyTorch, or similar frameworks.
- Strong problem-solving skills and willingness to learn quickly.
- Available for a 6-month full-time internship.
- Excellent communication skills and ability to work collaboratively in a team.
Nice to have
- Experience or coursework in software development and data engineering.
- Familiarity with cloud services such as AWS, GCP, or Azure.
- Interest in developing scalable AI systems and services.
Culture & Benefits
- Remote internship with a supportive, fast-paced environment.
- Work alongside experienced engineers, data scientists, and product teams.
- Hands-on experience contributing to AI infrastructure and developer tools.
- Collaborative learning culture with active team discussions.
Hiring process
- Interviews to assess fit for AI implementation and internship availability.
- Technical evaluation focused on Python/ML fundamentals and practical problem-solving.
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