AI/ML & Quantum Computing (Internship)

Quantumronics; Islamabad; Sur place; PKR 279 000 - 558 000; Plein temps

Avantages offerts par ce poste

Paid internship

Mentorship

Fast-track to full-time

Résumé du poste

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.

Connaissances

Analytical thinking

Communication skills

Research paper reading

Formation

Bachelors/Masters in CS/DS/Physics or related

Outils

Python

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Qiskit

Cirq

XGBoost

Description du poste

Paid Internship Leading to Full-Time Job — AI/ML & Quantum Computing

We’re looking for a motivated individual to join our team for a paid internship with a direct path to full-time employment.

Qualifications:

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

What you’ll get:

• Paid internship with real project ownership
• Mentorship from experienced researchers/engineers
• Fast-track to a full-time role based on performance