AI/ML & Quantum Computing Internship — Fast Track to Full-Time

Quantumronics; Islamabad; On-site; PKR 279,000 - 558,000; Full time

Benefits offered by this job

Paid internship

Mentorship

Fast-track to full-time

Job summary

Quantumronics in Islamabad seeks a motivated student for a paid internship with a direct path to full-time employment in AI/ML and quantum computing. You will contribute to real projects under mentorship from experienced researchers and engineers, gaining hands-on experience and exposure to state-of-the-art frameworks.

Ideal candidates have a computing or data science background, solid Python experience, and familiarity with ML libraries.

Qualifications

• Bachelor’s or Master’s degree completed or in final year in Computer Science, Data Science, Physics, or related field.
• Solid understanding of ML fundamentals and model evaluation.
• Hands-on experience with Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Familiarity with classification algorithms (e.g., XGBoost, Random Forest, Naive Bayes, Logistic Regression, KNN, Neural Networks).
• Experience with data preprocessing (Pandas, NumPy).
• Understanding of deep learning concepts (CNNs, RNNs, transformers) is a plus.
• Exposure to Quantum Computing frameworks (Qiskit, Cirq) is a plus.
• Strong analytical and problem-solving skills; ability to read and implement research papers.
• Good communication skills and willingness to learn.

Skills

Analytical thinking

Communication skills

Research paper reading

Education

Bachelors/Masters in CS/DS/Physics or related

Tools

Python

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Qiskit

Cirq

XGBoost

Job description

Quantumronics in Islamabad seeks a motivated student for a paid internship with a direct path to full-time employment in AI/ML and quantum computing. You will contribute to real projects under mentorship from experienced researchers and engineers, gaining hands-on experience and exposure to state-of-the-art frameworks.

Ideal candidates have a computing or data science background, solid Python experience, and familiarity with ML libraries.