Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Tech is seeking a visionary Lead AI/ML Architect to define the strategic roadmap for 2026 and beyond. In this pivotal role, you will not just write code; you will shape the future of predictive technology, creating systems that are robust, scalable, and revolutionary. Join a team of elite engineers pushing the boundaries of what's possible in Artificial Intelligence.
We are looking for a self-starter with a passion for deep learning and a knack for solving complex, high-stakes problems. If you thrive in a fast-paced, innovative environment and want to leave a lasting impact on the industry, this is your opportunity.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable Machine Learning infrastructure capable of handling petabytes of data for 2026-scale applications.
- Lead Strategic Innovation: Spearhead the research and development of novel algorithms, focusing on Generative AI and Predictive Modeling.
- Team Mentorship: Guide a high-performing squad of data scientists and engineers, fostering a culture of technical excellence and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex business requirements into cutting-edge technical solutions.
- Performance Optimization: Oversee the end-to-end deployment of models, ensuring low latency, high accuracy, and real-time processing capabilities.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in Machine Learning, with at least 3 years in a leadership or architectural role.
- Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, AWS SageMaker).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver elegant, scalable solutions under tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.