Quantum Computing

Senior Associate Quantum Computing (CTIO)

About the Commercial Technology & Innovation Office (CTIO)

The Commercial Technology & Innovation Office (CTIO) is dedicated to standardizing, automating, and delivering tools, processes, and emerging technologiesincluding quantum computingthat drive efficiency and enable our people to reimagine the possible. With a strong focus on process improvement, transformation, data & analytics, and alternative delivery solutions such as quantum optimization, CTIO is at the forefront of creating value for the firm. A career in CTIO provides the unique opportunity to build transformative products and innovative solutions that identify business gaps, solve complex problems, and unlock new opportunities.

Basic Qualifications

Level: Associate / Senior Associate

Minimum Experience: 48 years (including at least one year in quantum algorithms, cryptography, or quantum computing; the remainder in Generative AI/Data Science).

Education: Graduate, Postgraduate, or PhD from reputed institutes with relevant experience.

Field of Study: MS/MTech/PhD in Computer Science, Engineering, Physics, Mathematics, or a related technical fieldor equivalent practical experience.

Knowledge & Skills

Minimum one year of experience in quantum algorithms, cryptography, quantum computing, optimization, or machine learning.

Strong foundation in machine learning and deep learning algorithms (e.g., random forests, ensemble methods, CNNs, DNNs).

Proficiency with open-source frameworks such as PyTorch, TensorFlow, and Keras.

Experience publishing in reputed international journals on quantum algorithms or quantum computing applications.

Ability to learn new technologies rapidly and evaluate their technical and commercial impact.

Primary Skills:

Deep understanding of linear algebra and advanced quantum computing concepts.

Hands-on expertise with quantum algorithms, gate-based quantum systems, IBM Qiskit, and D-Wave's annealing/optimization tools.

Experience with quantum cryptography, quantum NLP, QUBO formulation for optimization problems.

Strong proficiency in Python.

Secondary Skills (Preferred):

Experience applying machine learning and deep learning techniques with TensorFlow, Keras, and Scikit-learn in Python.

Prior research publications in leading journals.

Roles & Responsibilities

Explore emerging analytical technologies and evaluate their technical and commercial viability.

Develop proof-of-concepts and prototypes in sprint cycles for internal and client-facing use.

Mentor and support junior team members.

Rapidly test, refine, and validate hypotheses related to data processing and ML model development.

Build AI pipelines for data ingestion, cleaning, and prediction.

Contribute to research publications and innovative perspectives on AI/Quantum that may be shared with clients and in academic forums.

Stay updated on cutting-edge AI and quantum research.