Machine Learning Engineer

Role Overview

We are looking for a skilled Machine Learning Engineer with 2–3 years of hands-on experience in developing, training, and deploying machine learning models. The ideal candidate should have a strong foundation in Machine Learning, Python, Deep Learning, and practical knowledge of Quantum Computing / Quantum Machine Learning (QML).

Responsibilities

• Develop, train, evaluate, and optimize machine learning models for real-world applications.
• Work with structured and unstructured datasets, including data preprocessing, feature engineering, and model evaluation.
• Implement machine learning and deep learning algorithms using Python.
• Develop and maintain ML pipelines for model training, testing, and deployment.
• Research and explore Quantum Computing and Quantum Machine Learning techniques and their practical applications.
• Work with quantum computing frameworks such as Qiskit, PennyLane, or Cirq.
• Explore hybrid classical–quantum machine learning approaches.
• Collaborate with software engineers, data scientists, and business teams to integrate ML solutions into applications.
• Monitor model performance and continuously improve accuracy, scalability, and efficiency.
• Stay updated with the latest developments in Machine Learning, AI, and Quantum Computing.

Requirements

• 2–3 years of professional experience in Machine Learning / AI.
• Strong programming skills in Python.
• Good understanding of supervised and unsupervised machine learning algorithms.
• Hands-on experience with Scikit-learn, Pandas, NumPy, and related ML libraries.
• Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, model training, and evaluation.
• Understanding of Quantum Computing fundamentals such as qubits, quantum gates, quantum circuits, and quantum algorithms.
• Practical or academic experience with Quantum Machine Learning.
• Knowledge of at least one quantum computing framework: Qiskit, PennyLane, or Cirq.
• Good understanding of statistics, probability, and linear algebra.
• Strong analytical and problem-solving skills.

Skills

• Python
• Machine Learning
• Deep Learning
• Quantum Computing
• Qiskit