AI Engineers (Quantum Computing Eng) - Senior Manager

Role Overview: You will be responsible for applying your expertise in Quantum Machine Learning/Algorithms, Deep learning/Qiskit-based programming/Optimization, and Python to contribute to the development of Quantum Computing solutions. With over 9 years of work experience, you will play a key role in designing and implementing Quantum Algorithms and Quantum Optimization techniques. Key Responsibilities: - Implement Quantum Machine Learning techniques including Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM using Qiskit - Develop Quantum Algorithms such as Qiskit, Deutsch-Jozsa, Bernstein-Vazirani, Simons Algorithms - Work on Quantum Deep Learning projects involving Hybrid Quantum Neural Networks - Utilize Open-source Quantum Frameworks for Quantum Computing solutions - Write code in Python for Qiskit-based programming - Apply Quantum Optimization methods including Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc. Qualifications Required: - Strong background in Quantum Engineering - Proficiency in Quantum Computing concepts and techniques - Experience with Quantum Machine Learning, Quantum Algorithms, and Quantum Optimization - Expertise in Python programming language - Certification: Master's or PhD in Quantum Computing would be preferred (Note: No additional company details were provided in the job description.),