Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to spearhead the architectural vision for our 2026 roadmap. In an era defined by rapid technological evolution, you will be at the forefront of designing scalable, high-performance systems that redefine the boundaries of artificial intelligence. This is not just a job; it is an opportunity to shape the future of how machines learn and interact with the world.
Why Join Us?
- Work on cutting-edge generative models and next-gen neural architectures.
- Competitive compensation and equity packages for top-tier talent.
- Flexible remote-first culture with premium benefits and wellness programs.
At Nexus Horizon Systems, we believe in pushing the envelope. If you are ready to lead the charge into the next decade of AI, we want to hear from you.
Responsibilities
- Architect and implement scalable AI infrastructure pipelines capable of handling petabyte-scale data.
- Lead the technical strategy for the 2026 AI roadmap, ensuring alignment with long-term business objectives.
- Optimize deep learning models for reduced latency and increased throughput.
- Collaborate with cross-functional teams of data scientists and software engineers to deploy robust ML solutions.
- Establish best practices for model monitoring, versioning, and reproducibility.
- Drive research initiatives to explore novel architectures for next-gen neural networks.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of professional experience in machine learning engineering or software development.
- Expert proficiency in Python and major deep learning frameworks (PyTorch, TensorFlow, JAX).
- Strong background in distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of deploying production-grade AI models at scale.
- Experience with MLOps tools and methodologies (MLflow, Kubeflow, Airflow).