Job Description
We are pioneering the next generation of artificial intelligence, specifically targeting the strategic goals of the 2026 Horizon Initiative. As a Lead AI Architect at Nebula Core, you won't just build models; you will architect the very infrastructure of the future. Join us in redefining the boundaries of machine learning, predictive analytics, and autonomous systems.
This is a high-impact role for a visionary engineer who thrives in ambiguity and is driven by the challenge of solving complex problems at scale.
Responsibilities
- Architect and design scalable AI infrastructure aligned with 2026 strategic roadmaps.
- Lead a cross-functional team of data scientists and ML engineers to deliver cutting-edge solutions.
- Oversee the full lifecycle of machine learning models, from data ingestion to deployment.
- Establish best practices for ethical AI, data governance, and model transparency.
- Collaborate with product leadership to translate business requirements into technical specifications.
- Drive innovation in generative AI and natural language processing technologies.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Proven experience leading technical teams and managing large-scale projects.
- Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Strong understanding of distributed systems and high-availability architecture.
- Experience with MLOps and model versioning tools (MLflow, Kubeflow).