Posted:4 days ago|
Platform:
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Internship
Assist in the design, development, and deployment of AI solutionsutilizing machine learning, natural language processing (NLP), and computervision techniques. - Collaborate with cross-functional teams, including data scientists andsoftware engineers, to seamlessly integrate AI solutions into existing productsand services. - Support data collection, processing, and automation tasks to enhance andrefine AI models. - Contribute to the testing, debugging, and optimization of AI solutions toensure high-quality, reliable outcomes. - Stay abreast of the latest trends in AI and machine learning, continuouslyintegrating new advancements to improve solutions. . Requirements What Does It Take? (SkillsRequired): - Educational Background: A degree in Computer Science, AI, Machine Learning,or a related technical field. Fresh graduates are encouraged to apply. - Programming Knowledge: Basic proficiency in Python, with familiarity in AI/MLframeworks. - API Integration Skills: Knowledge of Fast API and an understanding of how tointegrate APIs with other platforms (or a willingness to learn). - API & Automation: Familiarity with Fast API architecture, databasemanagement (MySQL, Chrome DB/Pinecone), and automation tools. - Machine Learning Proficiency: Experience with data preprocessing, featureengineering, and model evaluation techniques essential for AI/ML projects. - Problem-Solving: A creative mindset focused on solving technical challenges. - Team Player: Strong communication skills with the ability to collaborateeffectively within a team. - AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or relatedtechniques (such as transformers and deep learning models). - Transformers Knowledge: Basic understanding of transformer models and howthey are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP). Preferred Qualifications: - Internship experience in AI, machine learning, NLP, or computer vision. - Hands-on experience with AI projects (personal or academic), especially thoseinvolving LLMs, VLMs, or transformers. - Contribution to open-source AI projects or participation in AI competitionsis a plus
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