Job Description
Apex Horizon Labs is pioneering the next era of artificial intelligence. We are looking for a Senior AI Evolution Engineer to spearhead the development of adaptive systems designed to operate at peak efficiency in the technological landscape of 2026 and beyond.
In this role, you will bridge the gap between theoretical machine learning advancements and practical, large-scale deployment. You will be instrumental in building resilient, self-improving algorithms that drive our core product lines. If you are passionate about the future of AI and want to shape the technology that will define the next decade, we want to hear from you.
Responsibilities
- Architect and implement state-of-the-art machine learning pipelines focusing on long-term scalability and predictive accuracy.
- Collaborate with cross-functional teams to integrate AI models into real-world applications, ensuring robustness and low latency.
- Research and prototype novel algorithms capable of evolving autonomously based on environmental data.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimize existing models for production environments, significantly reducing inference costs and improving speed.
- Define technical roadmaps for AI feature releases aligned with our 2026 strategic vision.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of distributed computing systems and cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of deploying models that handle high-volume, high-velocity data streams.
- Excellent problem-solving skills with the ability to navigate ambiguity in fast-paced environments.