Job Description
Are you ready to shape the landscape of Artificial Intelligence in the coming decade? Chronos Tech is seeking a visionary Senior AI & Future Tech Engineer to drive our flagship “2026 Horizon” initiative. We are not just building the future; we are defining it. In this high-impact role, you will lead the development of next-generation neural architectures designed to solve complex problems that didn't exist yesterday.
Join a world-class team of data scientists, engineers, and futurists committed to pushing the boundaries of what is possible. You will have the autonomy to experiment with bleeding-edge technologies and the resources to deploy them at scale. If you are passionate about the intersection of deep learning and real-world application, we want to hear from you.
Why Join Us?
- Revolutionary Impact: Work on projects that will define the AI landscape by 2026.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- Cutting-Edge Stack: Access to the latest GPUs, cloud infrastructure, and research tools.
- Remote-First Culture: Flexible work environment with a focus on output and innovation.
Responsibilities
- Design, train, and deploy scalable deep learning models and generative AI systems tailored for the 2026 roadmap.
- Collaborate with cross-functional teams to integrate AI solutions into core product pipelines.
- Optimize existing algorithms for latency, throughput, and cost-efficiency in production environments.
- Conduct rigorous research and experimentation with novel architectures (e.g., Transformers, Diffusion Models).
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Evaluate emerging technologies to ensure Chronos Tech remains at the forefront of the industry.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence engineering.
- Proficiency in Python, PyTorch, or TensorFlow with a deep understanding of neural network mechanics.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong problem-solving skills with a proven track record of delivering high-impact ML products.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.