Job Description
We are not just predicting the future; we are architecting it. Chronos AI Labs is seeking a visionary Senior Predictive Intelligence Architect to spearhead the development of our flagship '2026' forecasting engine. In this role, you will define the algorithms that will power decision-making for enterprise clients navigating the complexities of the near-future landscape.
You will work at the intersection of Machine Learning, Big Data, and Strategic Foresight. If you are passionate about building robust, scalable systems that turn raw data into actionable foresight, we want to meet you.
Responsibilities
- Architect Next-Gen Models: Design and implement advanced machine learning models specifically tuned for predictive time-series analysis in the '2026' niche.
- System Scalability: Lead the engineering of high-velocity data pipelines that ingest terabytes of global data to generate real-time foresight insights.
- Strategic Collaboration: Partner with product managers and data scientists to translate complex 2026 scenario requirements into technical specifications.
- Optimization: Continuously refine model accuracy and reduce latency to ensure our predictive dashboard provides instant, reliable foresight.
- Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- R&D Leadership: Stay ahead of the curve in AI advancements, researching novel architectures applicable to predictive modeling.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Physics, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with a strong focus on Machine Learning and Artificial Intelligence.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is required.
- Domain Knowledge: Deep understanding of time-series analysis, anomaly detection, and predictive analytics.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.