Job Description
Join the Architects of the Future
Nexus Horizon Technologies is on the forefront of defining the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Engineer to lead our advanced machine learning division. In this pivotal role, you will not just build algorithms; you will engineer the intelligence that will power our next generation of products. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and are ready to shape the future, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the core architecture of our upcoming AI ecosystem.
- Forward-Looking Environment: Work in a culture that prioritizes innovation, experimentation, and long-term strategic thinking.
- Competitive Compensation: We offer a top-tier salary and comprehensive benefits package.
As we prepare for the technological shift of 2026, we need a leader who can bridge the gap between theoretical AI research and scalable production systems.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures optimized for the 2026 tech stack.
- Lead the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model training, evaluation, and productionization.
- Collaborate with cross-functional teams of data scientists, software engineers, and product managers to define AI-driven product requirements.
- Implement best practices for MLOps, including CI/CD pipelines, model versioning, and automated retraining workflows.
- Drive research initiatives to explore emerging AI paradigms such as Transformer models, generative AI, and reinforcement learning.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Ensure AI systems are ethical, transparent, and compliant with industry regulations.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Machine Learning.
- Minimum of 5+ years of professional experience in developing, deploying, and maintaining complex machine learning systems.
- Strong proficiency in programming languages such as Python, C++, or Java, with deep expertise in PyTorch or TensorFlow.
- Proven experience with large-scale distributed computing frameworks (e.g., Apache Spark, Kubernetes, AWS SageMaker).
- Demonstrated success in deploying NLP, Computer Vision, or Generative AI models in production environments.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience with ethical AI frameworks and bias mitigation techniques.