Senior AI Data Scientist

MLabs
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 13K

Job location

Remote

Tech stack

API
Artificial Intelligence
Computer Programming
Databases
Python
Large Language Models
Multi-Agent Systems

Job description

You will own the logic behind how our models reason over data, how agents coordinate and make decisions, and how we rigorously measure quality, correctness, and risk in production AI workflows. You'll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real-world financial constraints., * System Design: Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows.

  • Agent Logic: Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability.
  • Evaluation Frameworks: Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases.
  • Production Implementation: Design structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries.
  • Optimization: Analyze model behavior and failure modes to turn qualitative issues into measurable signals; optimize performance and cost across workflows.
  • Mentorship: Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems.

Requirements

Do you have experience in Risk management?, Do you have a Master's degree?, * Experience: 6+ years in data science, applied ML, or AI-focused software roles, with at least 3+ years building production AI/ML systems (beyond the experimentation phase).

  • Technical Depth: Deep hands-on experience with LLMs, agentic patterns, and tool-calling systems.
  • Programming: Strong Python skills and comfort working closely with production systems and APIs.
  • Architecture: Proven experience with RAG pipelines, embeddings, and vector databases.
  • Analytical Mindset: Strong intuition for model behavior, trade-offs, and failure analysis.

Preferred Qualifications:

  • Experience applying ML or statistical methods to financial data (crypto/DeFi is a major plus).
  • A track record of building reusable ML or data abstractions that improve team velocity.
  • A strong intuition for how model behavior shifts in production based on data, users, and constraints.

Benefits & conditions

We offer a competitive package designed to support your professional growth and personal well-being, * Compensation & Equity: Competitive package aligned with growth and merit. Salary range: $130,000 - $150,000 (commensurate with experience).

  • Comprehensive Health: 100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
  • Time Off: 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
  • Family Support: Thoughtful parental leave policy.
  • Wellness: Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
  • Career Growth: Personalized professional development in a rapidly expanding global company.
  • Commuter Benefits: Pre-tax commuter programs.

About the company

We are a leading financial technology firm building the infrastructure for safer, more accessible global markets. Our risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. We recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience.

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