Job Description
We are seeking a visionary Senior AI & Machine Learning Architect to lead our groundbreaking initiatives for the 2026 Horizon. At Nexus Horizon Solutions, we are building the infrastructure for tomorrow's intelligence today. You will be at the forefront of developing next-generation generative AI models, optimizing deep learning pipelines, and defining the ethical frameworks that will govern the future of human-machine interaction.
In this pivotal role, you won't just maintain legacy systems; you will architect scalable, robust, and transformative AI solutions that solve complex, high-stakes problems. Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in artificial intelligence.
Responsibilities
- Architect and Deploy: Design and implement scalable machine learning architectures and pipelines that power our core product offerings.
- Model Optimization: Lead research into model efficiency, training acceleration, and inference optimization techniques for 2026-era hardware.
- Strategic Vision: Define the technical roadmap for AI capabilities, ensuring alignment with long-term business goals and industry trends.
- Team Leadership: Mentor junior data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Ethical AI: Establish and enforce guidelines for responsible AI development, ensuring fairness, transparency, and accountability in all deployed models.
- Collaboration: Work closely with product managers, designers, and stakeholders to translate complex technical concepts into user-centric solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior or lead architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud-native architecture (AWS/GCP/Azure).
- Algorithmic Mastery: Proven track record of developing state-of-the-art models in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Leadership: Demonstrated ability to lead cross-functional teams and drive projects from conception to production deployment.
- Problem Solving: Exceptional analytical skills with a passion for tackling ambiguous and complex technical challenges.