AI Engineer Intern

Job Description

About AdmitixAdmitix is anAI-powered platformtransforming thestudy abroad experienceby integratingartificial intelligenceinto student counseling, university recommendations, and admissions processes. We are revolutionizing how students choose universities, navigate visa applications, and prepare for standardized tests.We are looking for anAI Engineer Internwho is eager to work on cutting-edge AI solutions thatpersonalize and automatevarious aspects of the study abroad journey. This2-month internshipoffers a chance to work onreal-world AI applications, and top performers may be offered afull-time AI Engineer role.TO BE CONSIDERED FOR THE JOB SHARE (email at hidden_email):1. YOUR BEST AI AGENT/PROJECT IMPLEMENTATION.2. YOUR GITHUB LINK.Key Responsibilities1. AI Model Development & Implementation
• Develop and fine-tunemachine learning (ML) and deep learning (DL) modelsfor student profiling, recommendation systems, and chatbot automation.
• Work withnatural language processing (NLP) modelsto improve automated student interactions.
• TrainLLMs (GPT-based models) and Transformer architecturesfor text-based applications.
• Build AI-powereduniversity ranking algorithmsbased on student preferences, historical data, and academic performance.
2. Data Processing & Feature Engineering
• Collect, clean, and preprocessstructured and unstructured datafrom multiple sources.
• Develop feature engineering pipelines to improve AI model efficiency.
• Optimize datasets fortraining and inference speedusing techniques likedimensionality reduction and embeddings.
3. AI-PoweredSolutions
• Develop and integrateAI-powered solutionsusingNLP models (BERT, T5, GPT, etc.).
• Improvequestion-answering capabilitiesfor student queries regarding university selection, visa processes, and test preparation.
• Implementintent recognitionandcontext-aware responsesto provide personalized assistance.
4. Model Deployment & Optimization
• Deploy ML/DL models usingAWS, Google Cloud, or Azure.
• Work withTensorFlow Serving, FastAPI, or Flaskto create AI-powered APIs.
• Optimize AI models forlow-latency and high-accuracy performancein production.
5. AI Ethics & Explainability
• Ensure AI models arefair, unbiased, and explainable.
• Implement techniques forinterpretable AIand model transparency.
Required Skills & QualificationsTechnical SkillsProgramming Languages:Proficiency inPython(NumPy, Pandas, TensorFlow, PyTorch, OpenAI API).Machine Learning & Deep Learning:Experience withSupervised, Unsupervised, and Reinforcement Learning techniques.Natural Language Processing (NLP):Familiarity withBERT, GPT, T5, spaCy, NLTK, Hugging Face Transformers.Data Handling & Preprocessing:Strong experience withSQL, NoSQL (MongoDB, Firebase), and Data Lakes.Cloud & Deployment:Basic knowledge ofAWS Sagemaker, Google Cloud AI, or Azure AI Services.Version Control:Familiarity withGit/GitHubfor collaborative development.Soft SkillsStrong problem-solving skillsand the ability tothink creatively about AI-driven solutions.Ability to work independently and in a team environment.Excellent communication skillsto present AI models and findings to stakeholders.Curiosity and eagerness to work on cutting-edge AI models.

Keyskills :
artificial intelligencedata sciencemachine learningmulti-agent systemsai development