Quantum AI Specialist

Are you passionate about fusing the power of quantum computing with artificial intelligence to create solutions that redefine the boundaries of possibility? Do you thrive in leveraging quantum algorithms to accelerate machine learning and optimization tasks? If you're ready to lead in this cutting-edge field, our client has the perfect role for you. We're seeking a Quantum AI Specialist (aka The Quantum Intelligence Architect) to design, develop, and implement quantum-enhanced AI solutions for real-world applications across industries.

As a Quantum AI Specialist at our client , you'll collaborate with quantum physicists, machine learning experts, and engineers to harness the synergy between AI and quantum computing. Your expertise in quantum programming, AI frameworks, and hybrid quantum-classical systems will drive innovation and unlock the full potential of quantum-enhanced intelligence.

Key Responsibilities:

1. Develop Quantum AI Algorithms:
• Design and implement quantum machine learning algorithms, including quantum-enhanced neural networks, clustering, and generative models.
2. Integrate Quantum and Classical AI Systems:
• Build hybrid workflows that combine the strengths of quantum computing and classical AI for solving complex optimization and data-driven challenges.
3. Optimize Quantum Circuits for AI Tasks:
• Create and refine quantum circuits tailored to AI models, optimizing for efficiency and fidelity given current hardware constraints.
4. Collaborate on Real-World AI Applications:
• Apply quantum-enhanced AI techniques to industries like healthcare, finance, and logistics, solving challenges in predictive modeling, pattern recognition, and resource optimization.
5. Test Algorithms on Quantum Platforms:
• Validate quantum AI models on simulators and quantum hardware, such as IBM Quantum, Google Sycamore, or Rigetti. Analyze performance and provide insights on scalability.
6. Contribute to Open-Source AI Frameworks:
• Enhance libraries and tools like TensorFlow Quantum, PennyLane, or Qiskit Machine Learning to accelerate the development of quantum AI solutions.
7. Stay Updated on Quantum AI Trends:
• Research advancements in quantum computing and artificial intelligence, integrating emerging techniques and insights into your work.

Requirements

Required Skills:

• Proficiency in Quantum Computing Frameworks: Expertise in Qiskit, Cirq, PennyLane, TensorFlow Quantum, or similar tools for quantum AI development.
• Strong Knowledge of Machine Learning: Deep understanding of AI frameworks like TensorFlow, PyTorch, or Scikit-learn, and algorithms for supervised, unsupervised, and reinforcement learning.
• Programming Expertise: Advanced skills in Python, with experience integrating quantum and classical computing workflows.
• Mathematical and Analytical Skills: Strong foundation in linear algebra, probability, and optimization, essential for quantum AI development.
• Problem-Solving and Creativity: Ability to identify opportunities for quantum advantage in AI tasks and design innovative solutions.

Educational Requirements:

• Master's or Ph.D. in Computer Science, Quantum Computing, Artificial Intelligence, or a related field. Equivalent experience in quantum-enhanced AI may be considered.
• Publications or research in quantum machine learning or AI are highly desirable.

Experience Requirements:

• 3+ years of experience in AI or quantum computing, with a proven track record of applying quantum algorithms to machine learning tasks.
• Familiarity with hybrid quantum-classical workflows and real-world AI applications.
• Experience with optimization problems, natural language processing, or computer vision is a plus.

Benefits

• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
• Work-Life Balance: Flexible work schedules and telecommuting options.
• Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
• Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
• Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
• Tuition Reimbursement: Financial assistance for continuing education and professional development.
• Community Engagement: Opportunities to participate in community service and volunteer activities.
• Recognition Programs: Employee recognition programs to celebrate achievements and milestones.