Job Description
We are seeking a visionary Senior AI Architect to lead our strategic initiative for 2026. As a pioneer in next-generation technology, Nexus Horizon is building the infrastructure that will define the future of enterprise automation. You will be at the forefront of integrating advanced AI models into our core ecosystem, ensuring scalability, security, and innovation.
Key Responsibilities:
- Architect and implement scalable machine learning solutions designed for the 2026 technological landscape.
- Lead a team of data scientists and engineers in defining the technical roadmap for next-gen AI systems.
- Collaborate with cross-functional product teams to translate business goals into technical specifications.
- Optimize existing models for speed, accuracy, and efficiency.
- Ensure compliance with data privacy regulations and industry standards.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of experience in designing large-scale machine learning systems.
- Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Strong understanding of deep learning architectures and natural language processing.
- Proven track record of leading high-performance engineering teams.
Responsibilities
- Architect and implement scalable machine learning solutions designed for the 2026 technological landscape.
- Lead a team of data scientists and engineers in defining the technical roadmap for next-gen AI systems.
- Collaborate with cross-functional product teams to translate business goals into technical specifications.
- Optimize existing models for speed, accuracy, and efficiency.
- Ensure compliance with data privacy regulations and industry standards.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of experience in designing large-scale machine learning systems.
- Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Strong understanding of deep learning architectures and natural language processing.
- Proven track record of leading high-performance engineering teams.