Job Description
We are at the precipice of a technological renaissance. Chronos Dynamics is seeking a visionary Senior AI Architect to design the foundational systems for our 2026 Horizon initiative. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable enterprise infrastructure. You will be responsible for architecting the neural frameworks that will power our predictive analytics platform for the next decade.
Why join us? We offer a competitive equity package, a remote-first culture, and the opportunity to shape the future of technology.
Responsibilities
- Architect 2026 Systems: Design and implement high-performance distributed AI architectures capable of processing petabytes of data in real-time.
- Predictive Modeling: Lead the development of next-generation predictive models focused on future market trends and user behavior.
- System Optimization: Optimize deep learning models for latency and throughput, ensuring seamless user experiences.
- Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Research Integration: Stay abreast of the latest advancements in Quantum Computing and Neuromorphic chips to integrate them into our 2026 roadmap.
- Ethical AI: Ensure all algorithms adhere to strict ethical guidelines and bias mitigation standards.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Problem Solving: Exceptional ability to solve complex, unstructured problems in ambiguous environments.
- Communication: Strong verbal and written communication skills, capable of translating technical jargon for stakeholders.