Job Description
We are looking for a visionary Future Tech Architect to lead our AI division into the next era of innovation. At Horizon Dynamics, we aren't just building software for today; we are architecting the solutions that will define the landscape of 2026 and beyond.
In this pivotal role, you will spearhead the development of cutting-edge generative AI models, predictive analytics platforms, and autonomous systems. You will work in a high-performance environment, collaborating with elite engineers to push the boundaries of what is possible in machine learning. If you are passionate about the future of technology and possess a deep understanding of scalable AI infrastructure, we want to hear from you.
Responsibilities
- Design and implement robust machine learning pipelines for complex, real-world applications.
- Lead a team of data scientists and engineers in research and development of next-generation AI algorithms.
- Optimize existing models for speed, accuracy, and scalability on cloud-native infrastructure.
- Define the technical roadmap for AI initiatives aligned with the company's vision for 2026.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Stay abreast of the latest advancements in NLP, Computer Vision, and Deep Learning.
- Mentor junior developers and conduct technical code reviews to ensure best practices.
Qualifications
- Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
- Minimum of 7+ years of professional experience in software development and machine learning.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven experience deploying large-scale ML models to production environments (AWS, GCP, or Azure).
- Experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
- Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.