Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Horizon is on a mission to redefine the technological landscape by 2026. We are seeking a visionary Senior AI/ML Engineer to lead our next-generation intelligence division. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable infrastructure, this is your opportunity to build the systems that will power the digital world of tomorrow.
In this role, you won't just write code; you will define architectural paradigms. You will work in a high-performance environment that values innovation, autonomy, and technical excellence.
Why Join Us?
- Shape the Future: Play a pivotal role in developing the core algorithms that will drive our clients' success.
- Top-Tier Compensation: Competitive salary and equity package.
- Flexible Culture: Hybrid work model based in the heart of Austin, TX.
- Continuous Learning: Access to the latest hardware and training resources.
Responsibilities
- Architect & Design: Lead the end-to-end design and implementation of scalable Machine Learning and Deep Learning systems optimized for 2026 performance standards.
- Generative AI Development: Spearhead the research and deployment of advanced Generative AI models, including LLMs and diffusion models, to solve complex business problems.
- Infrastructure Optimization: Engineer robust data pipelines and MLOps pipelines using cloud-native technologies to ensure high availability and low latency.
- Model Evaluation: Establish rigorous testing frameworks and metrics to evaluate model accuracy, fairness, and safety.
- Mentorship: Guide and mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation within the team.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into tangible business value.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field (or equivalent practical experience).
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of classical machine learning algorithms.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on NLP or Computer Vision.
- Cloud Expertise: Proven experience deploying models on major cloud platforms (AWS, GCP, or Azure) using containerization (Docker/Kubernetes).
- Problem Solving: Demonstrated ability to tackle unstructured problems and derive insights from massive datasets.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.