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Data Scientist - LLM Pipeline focus - Job Opportunity at Gorgias

Paris, France
Full-time
Mid-level
Posted: March 24, 2025
Hybrid
EUR 65,000 - 85,000 annually based on Paris market rates for mid-level AI/ML roles with LLM focus

Benefits

5 weeks vacation plus 2 weeks RTT (above market standard)
Comprehensive healthcare through Alan (premium provider)
Generous €2000 annual learning and wellness budget
€700 home office setup allowance
Company-provided MacBook Pro
Meal allowance via Swile card
Quarterly team summits and annual retreats
16 weeks paid parental leave (significantly above market average)

Key Responsibilities

Design and optimize LLM pipelines for AI-driven customer support automation
Lead prompt engineering initiatives for improved AI Agent performance
Conduct large-scale data analysis for LLM evaluation and optimization
Develop scalable testing methodologies for AI system validation
Collaborate with ML engineers on custom LLM development
Drive technical integration with e-commerce platforms
Establish performance metrics and evaluation frameworks
Guide AI system architecture decisions

Requirements

Education

Masters degree in STEM (science, technology, engineering and mathematics), or a related field

Experience

First experience in statistics, prompt engineering and LLM pipelines

Required Skills

Python/SQL programming Large-scale data analysis Prompt engineering Statistical analysis Communication skills Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

The e-commerce customer service automation sector is experiencing rapid growth with increasing adoption of LLM-powered solutions There's a significant shift from rule-based to AI-driven customer support systems in e-commerce The integration of LLMs with e-commerce platforms is becoming a critical differentiator for retail technology providers

Role Significance

Likely part of a 5-8 person specialized AI team within a larger engineering organization of 30-50 people
Mid-level technical position with significant impact on core product capabilities and direct influence on business outcomes

Key Projects

Development of automated customer support systems using state-of-the-art LLMs Creation of scalable evaluation frameworks for AI performance Integration of AI capabilities with e-commerce platforms Implementation of production-grade LLM pipelines

Success Factors

Deep understanding of LLM capabilities and limitations in practical applications Ability to balance technical optimization with business impact Strong collaboration skills for cross-functional AI development Data-driven approach to performance evaluation and improvement

Market Demand

Very high demand with limited talent pool due to the specialized nature of LLM engineering and the rapid growth of AI in e-commerce

Important Skills

Critical Skills

LLM engineering expertise - essential for core product development Statistical analysis capabilities - crucial for performance evaluation Python programming - fundamental for implementation E-commerce domain knowledge - important for context-aware solutions

Beneficial Skills

Knowledge of e-commerce platforms like Shopify Experience with production ML systems Understanding of customer service operations Familiarity with AB testing methodologies

Unique Aspects

Direct involvement in shaping next-generation e-commerce AI solutions
Opportunity to work with large-scale, real-world LLM applications
Exposure to diverse e-commerce use cases and challenges

Career Growth

2-3 years in role before advancement, accelerated by rapid industry growth and increasing AI adoption

Potential Next Roles

Senior Data Scientist Lead ML Engineer AI Technical Product Manager Head of AI/ML

Company Overview

Gorgias

Gorgias is a growing player in the e-commerce technology sector, focusing on AI-driven customer service automation with over 15,000 merchant clients

Well-positioned in the e-commerce support automation niche with strong growth trajectory and established client base
Strong presence in European and North American markets with global client reach
Innovation-focused environment with emphasis on technical excellence and continuous learning
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