About the job
AI Engineer Intern Location: Noida /On-site Duration: 3 Months Eligibility: Final year students or recent graduates in Computer Science, Data Science, AI/ML, or related fields Role Overview: We’re looking for a passionate AI Engineer Intern to join our team and work on real-world applications in machine learning, deep learning, and AI-driven automation. You’ll have the opportunity to contribute to live projects involving speech, NLP, computer vision, and more. Key Responsibilities: • Assist in building and testing ML/DL models for NLP, speech, or computer vision tasks • Preprocess, clean, and annotate datasets • Support in training and fine-tuning models using TensorFlow, PyTorch, or similar frameworks • Collaborate with AI engineers and software teams for model integration • Stay updated with current AI research and tools Required Qualifications: • Good understanding of Python and ML libraries (scikit-learn, NumPy, pandas, etc.) • Familiarity with deep learning frameworks (TensorFlow/PyTorch) • Basic knowledge of NLP, computer vision, or speech processing is a plus • Strong problem-solving and analytical skills • Eagerness to learn and contribute in a fast-paced environment What We Offer ? • Mentorship from experienced AI professionals • Hands-on experience with production-level AI systems • Certificate and letter of recommendation upon completion • Potential for a full-time offer based on performance How to Apply: Interested candidates are invited to submit their resume, portfolio, and a cover letter explaining their suitability for the role to arju.kumari@servoedge.com with the subject line: Application for AI Engineer Intern – [Your Name] or apply here.
Requirements
- Python
- ML libraries
- TensorFlow
- PyTorch
- NLP
- computer vision
Qualifications
- Final year students or recent graduates in Computer Science, Data Science, AI/ML, or related fields
Preferred Technologies
- Python
- ML libraries
- TensorFlow
- PyTorch
- NLP
- computer vision
Benefits
- Mentorship from experienced AI professionals
- Hands-on experience with production-level AI systems
- Certificate and letter of recommendation upon completion
- Potential for a full-time offer based on performance
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