Job Description
Join the Architects of Tomorrow.
At Nexus Horizon, we are not just building software for today; we are engineering the infrastructure for the year 2026 and beyond. We are looking for a visionary Senior AI/ML Architect to lead our research into next-generation neural networks and autonomous systems.
As we approach a new era of technological convergence, your role will be pivotal in defining the roadmap for our flagship AI products. You will work at the intersection of deep learning, ethical AI, and scalable cloud architecture.
Why Nexus Horizon?
We offer a competitive compensation package, equity packages, and the opportunity to work on projects that will define the future of human-machine interaction.
Responsibilities
- Lead R&D Initiatives: Spearhead the research and development of proprietary AI models designed to outperform current benchmarks by 2026.
- System Design: Architect end-to-end machine learning pipelines, ensuring high scalability, fault tolerance, and real-time processing capabilities.
- Strategic Roadmapping: Collaborate with C-suite executives to define long-term technical strategies that align with global market trends.
- Model Optimization: Optimize existing models for reduced latency and increased inference speed using advanced quantization and pruning techniques.
- Team Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Ethical Compliance: Ensure all AI deployments adhere to the highest standards of fairness, transparency, and data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (Kubernetes, MLflow, SageMaker).
- Problem Solving: Proven track record of solving complex, unstructured problems in high-volume environments.
- Leadership: Demonstrated ability to lead cross-functional teams and drive technical vision from conception to deployment.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.