Job Description
We are seeking a visionary Senior AI Architect to spearhead Project 2026, our revolutionary initiative to redefine the future of autonomous systems. You will be at the forefront of integrating quantum-ready algorithms with deep learning frameworks.
At Apex Logic Systems, we don't just build software; we engineer the infrastructure of tomorrow. In this high-impact role, you will design scalable neural networks, optimize large language models for real-time inference, and collaborate with a world-class team of engineers, data scientists, and researchers. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and are ready to work on a platform that will define the industry standard for the next decade, we want to hear from you.
Why Join Us?
- Work on Project 2026, a flagship initiative with global impact.
- Competitive compensation package including equity.
- Flexible remote-first culture with premium office amenities.
- Access to cutting-edge hardware and research libraries.
Responsibilities
- Design and architect end-to-end machine learning pipelines for high-scale deployment.
- Lead the research and implementation of novel neural network architectures tailored for Project 2026.
- Optimize model inference speeds and reduce latency across distributed systems.
- Collaborate with cross-functional teams (Product, DevOps, Security) to ensure seamless integration of AI capabilities.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest advancements in AI research and benchmark against industry leaders.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 6+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior architectural role.
- Proficiency in Python, PyTorch, and TensorFlow (or JAX).
- Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Strong background in Natural Language Processing (NLP) and Generative AI models.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.