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Senior AI Data Scientist

1 month ago
Europe, United States, France, Germany, Italy, Netherlands, Israel
Full-time
Senior
Data Scientist
Data Science and Analytics
Machine Learning Python
Apply Now
MLabs

MLabs

MLabs is a Haskell, Rust, Blockchain, and AI consultancy specializing in mission-critical software development, cross-team collaboration, and cutting-edge value delivery for fintech, blockchain, and information technology sectors.

Internet Software & Services
11-50
Founded 2018
View All Jobs 3

Description

  • Design and own single- and multi-agent systems that reason, plan, and act over complex financial workflows.
  • Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability.
  • Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases.
  • Design and implement structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries.
  • Analyze model behavior and failure modes, convert qualitative issues into measurable signals, and optimize performance and cost across workflows.
  • Collaborate closely with product, engineering, and research teams to move prototypes into reliable, scalable production AI systems operating under real-world financial constraints.
  • Mentor engineers and data scientists and establish best practices for applied LLM and agentic systems.

Requirements

  • 6+ years in data science, applied ML, or AI-focused software roles.
  • At least 3+ years building production AI/ML systems beyond the experimentation phase.
  • Deep hands-on experience with LLMs, agentic patterns, and tool-calling systems.
  • Strong Python programming skills and comfort working closely with production systems and APIs.
  • Proven experience with RAG pipelines, embeddings, and vector databases.
  • Strong analytical mindset with intuition for model behavior, trade-offs, and failure analysis.
  • Preferred: experience applying ML or statistical methods to financial data, with crypto/DeFi as a major plus.
  • Preferred: a track record of building reusable ML or data abstractions that improve team velocity and a strong intuition for how model behavior shifts in production.

Benefits

  • Salary range $130,000–$150,000 (commensurate with experience) plus a competitive equity package.
  • 100% employer-paid medical, dental, and vision options for employees and dependents, with FSA/HSA options.
  • 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
  • Thoughtful parental leave policy.
  • Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
  • Personalized professional development and career growth opportunities in a rapidly expanding global company.
  • Pre-tax commuter benefits.
  • Commitment to equal opportunity, accessible hiring processes, and reasonable adjustments during the recruitment process.

Interested in this position?

Apply directly on the company website

Apply Now

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