JOB OVERVIEW

We are seeking a highly skilled and innovative AI Architect to join our dynamic team. The ideal candidate will be responsible for designing and implementing advanced AI solutions that leverage machine learning, natural language processing, and other cutting-edge technologies. This role requires a deep understanding of data architecture, cloud services, and the ability to collaborate with cross-functional teams to drive AI initiatives that enhance business processes and decision-making.

QUALIFICATIONS

• Proven experience in AI architecture design and implementation.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Java.
• Experience with ETL processes and tools for data management.
• Familiarity with linked data principles and technologies.
• Understanding of quantum engineering concepts is a plus.
• Experience with cloud services, particularly AWS, for deploying scalable solutions.
• Knowledge of Hadoop or similar big data technologies is desirable.
• Strong analytical skills with a focus on natural language processing techniques.
• Excellent problem-solving abilities and attention to detail.
  We invite you to apply if you are passionate about advancing the field of artificial intelligence through innovative architecture solutions.
  Job Types: Full-time, Contract
  Pay: $160,000.00 - $195,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Paid time off

Work Location: In perso

• Design and develop scalable AI architectures that meet business requirements.
• Implement machine learning frameworks and algorithms to solve complex problems.
• Collaborate with data engineers to create efficient ETL processes for data integration.
• Utilize cloud platforms such as AWS for deploying AI solutions.
• Work on linked data projects to enhance data interoperability and accessibility.
• Engage in quantum engineering initiatives to explore new computational paradigms.
• Develop applications using Java and other programming languages as needed.
• Conduct research on emerging technologies in AI and machine learning to continually improve system performance.
• Ensure robust database design practices are followed to support AI applications.
• Provide technical guidance and mentorship to junior team members.