AI/ML Intern
1 week ago
NirveonX | AI/ML Intern (Remote, 3 Months)
Experience Level:
Freshers & early-career professionals
Mode:
Remote
Duration:
3 Months
Working Hours:
Flexible
Stipend:
Performance-Based
Company Overview
NirveonX is an AI-powered healthcare ecosystem transforming how people and pets access care. Our platform integrates virtual doctor consultations, veterinary care, mental health support, elder care assistance, fitness & nutrition guidance, and personalized hobby coaching — all in one user-friendly interface. With 24/7 AI-driven support and personalized care plans, we empower users to proactively manage their well-being.
Role Overview
We are seeking an AI/ML Intern to join our research and product development team. You will work on real-world machine learning projects that power the intelligence behind NirveonX — from healthcare predictions to conversational AI and personalization systems. This internship offers hands-on experience in building, training, and deploying models that directly impact user experiences and health outcomes.
Key Responsibilities
Model Development & Research
- Develop and fine-tune machine learning models for healthcare, recommendation, and classification tasks
- Perform data preprocessing, feature engineering, and exploratory data analysis
- Implement deep learning models for image, text, or multimodal data using TensorFlow or PyTorch
Data & Evaluation
- Collect, clean, and manage structured and unstructured datasets
- Evaluate model accuracy, precision, recall, and other performance metrics
- Optimize models for scalability, latency, and real-world deployment
Collaboration & Integration
- Work closely with backend and app development teams to integrate AI modules into production systems
- Collaborate with data scientists and software engineers on model APIs and inference pipelines
- Contribute to documentation, reports, and internal AI knowledge sharing
Requirements
- Strong foundation in Python, NumPy, Pandas, and Scikit-learn
- Understanding of machine learning algorithms such as regression, clustering, and decision trees
- Familiarity with deep learning frameworks like TensorFlow or PyTorch
- Knowledge of data preprocessing, visualization, and model evaluation techniques
- Problem-solving mindset with strong analytical and mathematical skills
Preferred Skills
- Experience with NLP, Computer Vision, or Recommender Systems
- Familiarity with LLMs, transformers, or fine-tuning open-source models
- Knowledge of Flask or FastAPI for model deployment
- Understanding of cloud platforms (AWS, GCP, or Azure)
- Academic or personal projects demonstrating AI/ML applications
Perks
- Certificate of Completion and Letter of Recommendation (based on performance)
- Mentorship from AI researchers and senior developers
- Hands-on experience deploying AI solutions for real-world healthcare use cases
- Opportunity to contribute to NirveonX's core AI ecosystem and innovation roadmap
- Remote-first, flexible work culture encouraging creativity and exploration
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