AI Engineer Intern (NLP & Voice AI)
👨💼 Roles: AI Engineer Intern (NLP & Voice AI)
👨💼 Experiences: Fresh Required
🗓 Posted: 2025-10-24
⏳ Expires: 2025-11-07
AI Engineer Intern (NLP & Voice AI) – Job Description
Location: DHA Phase 6, Lahore (Hybrid – Onsite + Remote)
Company: Swift Studioz
Duration: 2 Months
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About Us
Swift Studioz is a growing software and web development company dedicated to building innovative, AI-driven solutions for the modern digital world. We’re looking for passionate AI Engineer Interns who are eager to explore the exciting fields of Natural Language Processing (NLP) and Voice AI, and gain hands-on experience working on real-world conversational AI systems.
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Role Overview
As an AI Engineer Intern (NLP & Voice AI), you will collaborate with our AI and backend teams to develop, test, and optimize intelligent voice and chat-based systems. You’ll get hands-on exposure to training NLP models, integrating them into live applications, and improving their accuracy and scalability. This internship is perfect for individuals who want to bridge the gap between AI research and real-world deployment.
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Key Responsibilities
•Assist in developing and fine-tuning NLP and speech recognition models.
•Contribute to building conversational AI agents for voice and chat platforms.
•Work with APIs and backend teams to integrate AI models into production.
•Experiment with open-source models (e.g., Hugging Face, Whisper, or LLaMA).
•Help optimize AI systems for real-time accuracy and performance.
•Document experiments, results, and performance improvements.
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Requirements
•Basic understanding of Machine Learning, NLP, or Speech Recognition.
•Proficiency in Python and familiarity with ML libraries like TensorFlow, PyTorch, or Transformers.
•Awareness of AI model training, tokenization, and text preprocessing.
•Strong curiosity for how AI models interact with human language and voice data.
•Eagerness to learn, experiment, and contribute in a collaborative environment.
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Good to Have (Optional)
•Prior experience using Hugging Face, Whisper, or LangChain.
•Knowledge of vector databases (e.g., Pinecone, FAISS).
•Familiarity with speech-to-text and text-to-speech systems.
•Understanding of AI model deployment and API integration.
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Perks & Benefits
•Hands-on experience with real-world AI and NLP projects.
•Mentorship from experienced AI and backend engineers.
•Internship completion certificate.
•Potential opportunity for full-time employment after internship.
• Stipend based on performance
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📧 To Apply:
Send your CV and a short cover letter to info@swiftstudioz.com
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