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Holiday World
Free to start · No card · 5 credits the moment you sign up
Holiday Channel is a forward-thinking startup focused on creating innovative solutions like Digital Magazines, Marketplace and Streaming Platform to enhance holiday experiences. Holiday World is a digital media and entertainment company building the world’s first platform for ALL THINGS HOLIDAY where consumers can conveniently find all their holiday needs 24x7x365 — entertainment, shopping, trends, traditions, food, travel, DIY, and the best deals. We created Holiday World to inspire, celebrate, and unite people through holidays, as well as all the traditions and rituals that accompany them. As the first inclusive destination devoted to sharing a global lens on holiday celebrations and preparation, Holiday World is a catalyst for more diverse storytelling and cross-cultural education. Our mission is to give millions of people a reason to celebrate and savor every day, every moment, all year by uniting communities with more joy, more fun, and more compassion. Holiday World is a for-profit company that holds its social mission at its core.
What We Offer
Immediate opportunity to make an impact on our team, product, and business.
A chance to work with a startup that has over 110K users.
A get-stuff-done and fun and caring culture.
Meaningful work and a strong shared sense of mission.
A remote first working environment with an office in Colorado Springs, CO.
A platform to lead and innovate within a dynamic startup environment, offering substantial opportunities for professional growth and development.
A unique opportunity to explore real-world AI innovation within a fast-moving startup environment, providing hands-on experience in AI systems development, deployment, and scaling, all while contributing to meaningful applications that shape how people experience holidays.
Sponsorship for international students on F-1 OPT ((Optional Practical Training)
What This Role Is
We are seeking talented and motivated individuals to join our team for an exciting opportunity to work on cutting-edge AI-driven technologies and projects. This unpaid internship is designed for aspiring AI Engineers who are passionate about artificial intelligence and machine learning, and want to enhance their skills in building real-world AI applications with a focus on NLP, computer vision, recommendation systems, and generative AI. As an AI Engineer Intern, you will collaborate with our engineering team to design, develop, and deploy AI-powered features that bring personalization and intelligence to our platforms. You’ll gain hands-on experience with end-to-end AI workflows: from data collection and preprocessing to model training, deployment, and scaling with microservices.
Collaborate with the development team to design and implement AI solutions within our applications.
Build, train, and fine-tune machine learning models for NLP, computer vision, and recommendation engines.
Develop and deploy AI microservices using FastAPI/RESTful APIs.
Containerize and run services on Google Cloud Run for scalable deployments.
Work with both structured and unstructured datasets to create data-driven solutions.
Integrate third-party AI services and APIs when applicable.
Optimize models for performance, scalability, and efficiency.
Contribute to GitHub repositories, participate in code reviews, and follow best practices in version control.
Stay updated with the latest AI research, frameworks, and tooling.
2+ years of experience working with Python and machine learning frameworks (TensorFlow, PyTorch, or similar).
Proficiency in FastAPI for developing AI/ML microservices.
Strong understanding of NLP, computer vision, and recommender systems.
Hands-on experience with data preprocessing, training, and evaluating ML models.
Familiarity with GitHub for version control and collaborative development.
Experience with containerization (Docker) and deployment on Google Cloud Run.
Knowledge of PostgreSQL, SupaBase databases for storing and retrieving data.
Strong problem-solving skills, attention to detail, and a passion for learning.
Familiarity with generative AI models (text, image, or video).
Understanding of CI/CD workflows for ML pipelines.
Exposure to monitoring and scaling ML systems in production.
Originally posted on Himalayas
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