Were looking for an independent curious AI researcher to join Datarails and help bring generative AI into high-precision financial workflows. Youll turn research ideas into robust production-grade features that meet finances strict correctness and auditability requirements.
Datarails is a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined cloud-based systems. We help finance professionals gain control clarity and insight over their data - from reports to forecasts to deep analytics.
What Youll Do:
- Own end-to-end projects: define the problem prototype evaluate and deliver PoC/MVPs.
- Research and build GenAI solutions flows and agents that reduce nondeterminism and produce numerically reliable outputs for financial use cases.
- Design practical verification monitoring and fallback strategies so GenAI can be trusted in critical workflows.
- Collaborate with engineering and product teams to ship and maintain production solutions.
What We Offer:
- We offer a supportive agile and creative work environment with brilliant colleagues!
- Competitive compensation ongoing recognition and most of all a chance to learn contribute and develop your skills.
- Opportunity to join an explosive industry a successful and growing organization and an unmatched leadership team that is passionate about their employees!
- Most of all we will give you fun enthusiasm support a passion for healthy living and never a dull moment!
Requirements:
- Strong foundation in data science / ML and comfortable writing production-quality code.
- Proven experience delivering ML/AI projects from research to production independently.
- Pragmatic problem solver with solid engineering practices (testing code reviews reproducibility).
- Eager to learn conduct research and stay at the cutting edge of GenAI.
- Excellent communicator and collaborator.
Nice to have
- Experience in finance or numerical systems or familiarity with LLM/GenAI workflows.
- Advanced degree publications or open-source contributions.
Were looking for an independent curious AI researcher to join Datarails and help bring generative AI into high-precision financial workflows. Youll turn research ideas into robust production-grade features that meet finances strict correctness and auditability requirements.Datarails is a SaaS B2B so...
Were looking for an independent curious AI researcher to join Datarails and help bring generative AI into high-precision financial workflows. Youll turn research ideas into robust production-grade features that meet finances strict correctness and auditability requirements.
Datarails is a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined cloud-based systems. We help finance professionals gain control clarity and insight over their data - from reports to forecasts to deep analytics.
What Youll Do:
- Own end-to-end projects: define the problem prototype evaluate and deliver PoC/MVPs.
- Research and build GenAI solutions flows and agents that reduce nondeterminism and produce numerically reliable outputs for financial use cases.
- Design practical verification monitoring and fallback strategies so GenAI can be trusted in critical workflows.
- Collaborate with engineering and product teams to ship and maintain production solutions.
What We Offer:
- We offer a supportive agile and creative work environment with brilliant colleagues!
- Competitive compensation ongoing recognition and most of all a chance to learn contribute and develop your skills.
- Opportunity to join an explosive industry a successful and growing organization and an unmatched leadership team that is passionate about their employees!
- Most of all we will give you fun enthusiasm support a passion for healthy living and never a dull moment!
Requirements:
- Strong foundation in data science / ML and comfortable writing production-quality code.
- Proven experience delivering ML/AI projects from research to production independently.
- Pragmatic problem solver with solid engineering practices (testing code reviews reproducibility).
- Eager to learn conduct research and stay at the cutting edge of GenAI.
- Excellent communicator and collaborator.
Nice to have
- Experience in finance or numerical systems or familiarity with LLM/GenAI workflows.
- Advanced degree publications or open-source contributions.
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