
Jupiter Money
1 week ago
As Applied Science's Lead, you'll spearhead our AIML strategy and vision and will be responsible for architecting and developing sophisticated models that will form the backbone of our core financial products, driving innovation and enhancing customer experience. You will be a hands-on leader, guiding and mentoring a team of talented scientists, while also fostering close collaboration with cross-functional teams in product, engineering, and business to align AIML initiatives with overarching company objectives. Your expertise will be instrumental in identifying and leveraging data-driven insights that will optimize our product offerings, inform strategic business decisions, and ultimately propel our company's growth in the competitive financial services landscape.
Responsibilities :
- Lead the AI roadmap end-to-end, balancing long-term research with short-term impact, and accounting for business objectives and market opportunities.
- Build and deploy production-quality AIML models for data-driven insights and personalized financial recommendations.
- Lead and mentor a team of scientists, fostering innovation and maintaining high standards.
- Translate business problems into AI solutions that deliver measurable ROI.
- Collaborate with business, product, engineering, and design teams to ensure that ML isn't a side layer - it's woven into Jupiter's core.
- Communicate complex analyses and model outputs to technical and non-technical stakeholders.
- Write code, run experiments, validate hypotheses, and deploy models at scale - you'll own the lifecycle, not just hand off to engineers.
- Evaluate and implement appropriate AI technologies based on business needs, not hype.
Requirements :
- PhD or equivalent research experience in ML / Statistics / Applied Mathematics / NLP, ideally with published work in top conferences (NeurIPS, ICML, ACL, KDD).
- 5+ years of hands-on experience in ML, with at least 3+ years in fintech or consumer-scale products.
- Strong background in modern AI stack (TensorFlow/PyTorch, cloud ML platforms, MLOps tools).
- Demonstrated experience applying AI/ML to solve real-world problems with quantifiable business impact.
- Proven ability to view AI as a means to achieve business outcomes rather than technology for its own sake.
- Deep knowledge of advanced machine learning techniques like deep learning, NLP, and time series forecasting.
- Successful track record leading cross-functional AI projects from conception to production.
- The mindset of an owner - you love taking ambiguity and turning it into impact.
(ref:hirist.tech)-
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