Job Description
Join the Architects of Tomorrow
We are looking for a visionary Strategic AI & Machine Learning Engineer to help define the technological landscape of 2026. At Nexus Horizon Inc., we are building the infrastructure for the future, focusing on autonomous systems, Generative AI, and next-generation neural architectures. If you are passionate about pushing the boundaries of what is possible with code and data, we want you on our team.
In this role, you will not just maintain existing systems; you will architect the core algorithms that will power our products for the decade to come. You will work closely with our R&D division to transition experimental prototypes into scalable production environments.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 roadmap.
- Competitive compensation and equity package.
- Flexible remote-first culture with access to top-tier hardware.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable deep learning models and neural network architectures optimized for high-performance computing environments.
- Lead R&D Initiatives: Spearhead research projects focusing on Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning to solve complex, real-world problems.
- Optimize Model Performance: Reduce latency and improve inference accuracy for edge computing devices and large-scale cloud deployments.
- Mentor Engineering Teams: Guide junior developers and data scientists, establishing best practices for code quality, testing, and deployment (CI/CD).
- Collaborate Cross-Functionally: Partner with product managers and designers to translate technical capabilities into user-centric features.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience building and deploying machine learning models in production environments.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of MLOps tools and cloud platforms (AWS, GCP, or Azure).
- Specialization: Demonstrated expertise in Generative AI, Large Language Models (LLMs), or Computer Vision is highly preferred.
- Problem Solving: Exceptional analytical skills with the ability to troubleshoot complex system bottlenecks and optimize data pipelines.