Job Description
About Nexus Horizon: We are the architects of the year 2026 digital landscape. We specialize in next-generation artificial intelligence, building adaptive systems that redefine human-machine interaction. We are seeking a visionary Senior AI & Machine Learning Architect to lead our advanced research division.
The Role:
As a Senior AI Architect, you will design and implement robust machine learning pipelines that power our core products. You will be responsible for translating complex business requirements into scalable AI solutions, ensuring our systems remain at the forefront of technological innovation.
Key Responsibilities:
- Design and implement scalable machine learning architectures for 2026-ready infrastructure.
- Lead the development of state-of-the-art models using Deep Learning and Neural Networks.
- Optimize algorithms for high-performance computing environments and edge devices.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Establish best practices for data governance, model deployment, and monitoring.
- Mentor junior engineers and conduct technical research to stay ahead of industry trends.
Qualifications:
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum 7 years of experience in AI/ML engineering, preferably in a senior role.
- Expert proficiency in Python, PyTorch, TensorFlow, and scikit-learn.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
Responsibilities
- Design and implement scalable machine learning architectures for 2026-ready infrastructure.
- Lead the development of state-of-the-art models using Deep Learning and Neural Networks.
- Optimize algorithms for high-performance computing environments and edge devices.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Establish best practices for data governance, model deployment, and monitoring.
- Mentor junior engineers and conduct technical research to stay ahead of industry trends.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum 7 years of experience in AI/ML engineering, preferably in a senior role.
- Expert proficiency in Python, PyTorch, TensorFlow, and scikit-learn.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).