Job Description
Are you ready to build the infrastructure for tomorrow? Apex Horizon Systems is pioneering the 2026 Vision roadmap, a cutting-edge initiative focused on next-generation Artificial Intelligence and Quantum-ready architecture. We are looking for a visionary Senior AI/ML Architect to lead our engineering team in crafting scalable, intelligent systems that will define the technological landscape of the coming decade.
In this role, you will not just implement existing solutions; you will define the algorithms and frameworks that will power our platforms through 2026 and beyond. If you are passionate about the future of tech and possess the expertise to turn abstract concepts into robust production systems, we want to hear from you.
Responsibilities
- Architect & Design: Lead the end-to-end design and architecture of large-scale Machine Learning pipelines and AI systems aligned with the 2026 strategic roadmap.
- Research & Innovation: Spearhead research into emerging AI paradigms, including Large Language Models (LLMs) and edge computing, ensuring our tech stack remains future-proof.
- Code Leadership: Write high-quality, production-grade Python and C++ code; establish coding standards and conduct rigorous code reviews.
- System Optimization: Optimize model inference speeds and reduce latency in real-time data processing environments.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaboration: Partner with cross-functional teams including Product Managers, Data Scientists, and DevOps engineers to deliver high-impact features.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and experience with distributed computing frameworks (e.g., Spark, Kubernetes).
- Algorithms: Deep understanding of statistical modeling, neural networks, and optimization algorithms.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-scale environments.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.