Job Description
We are on the precipice of a technological revolution, and we need a visionary leader to architect the systems that will define the year 2026. At Nebula Horizon Technologies, we are building the infrastructure for the next generation of sentient AI and autonomous decision-making. If you are passionate about pushing the boundaries of Machine Learning and possess a strategic mindset for high-scale deployment, we want to meet you.
In this role, you will not just write code; you will shape the future of human-machine interaction. You will be responsible for the end-to-end lifecycle of our core AI models, ensuring they are scalable, ethical, and future-proof for the demands of the 2026 landscape.
Responsibilities
- Architect the 2026 Roadmap: Lead the architectural design and implementation of our core AI infrastructure, specifically focusing on predictive modeling for the 2026 consumer release.
- Optimize Neural Networks: Drive the optimization of deep learning models to improve latency, accuracy, and energy efficiency for edge computing deployment.
- Lead Cross-Functional Teams: Mentor and guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Model Governance: Establish strict guidelines for model bias, transparency, and data privacy, ensuring compliance with emerging global standards.
- Technical Strategy: Evaluate and integrate cutting-edge technologies (e.g., Transformer architectures, Reinforcement Learning) to maintain our competitive edge.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field from a top-tier university.
- Experience: 8+ years of experience in Software Engineering or Machine Learning, with at least 3 years in a senior architectural or leadership role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/GCP/Azure).
- Strategic Vision: Proven track record of translating complex business requirements into robust technical architectures.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.