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NLP/ML Engineer (M/F) - Job Opportunity at SESAMm

Paris, France
Full-time
Mid-level
Posted: May 1, 2025
Hybrid
EUR 65,000 - 85,000 annually, based on Paris market rates for mid-level NLP specialists in fintech

Benefits

Global remote work flexibility with international collaboration opportunities exceeding standard market offerings
Progressive multicultural environment spanning US, France, and Tunisia operations
Accelerated career development path in a high-growth fintech environment
Comprehensive professional development with both internal and external training programs
Above-industry-standard organizational transparency through regular AMA sessions
Strong emphasis on work-life balance and cultural development

Key Responsibilities

Lead development of advanced NLP solutions with direct impact on financial decision-making processes
Architect and implement data preparation pipelines for processing multi-language datasets
Drive LLM implementation strategy including model selection, fine-tuning, and deployment
Spearhead technology evaluation and selection for enterprise-scale NLP applications
Design and validate solution prototypes for financial analysis applications
Lead technical knowledge sharing and documentation initiatives across global teams

Requirements

Education

Master's degree or higher in Computer Science, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics, or a related field with strong computational and analytical capabilities

Experience

2 to 5 years of professional experience in developing and implementing solutions in Natural Language Processing or Machine Learning, including hands-on experience with Large Language Models

Required Skills

Strong expertise in Python programming (including Object-Oriented Programming best practices) Proficiency with common Machine Learning and NLP libraries Solid understanding of core Machine Learning concepts Experience implementing, training, fine-tuning, and evaluating NLP models and Large Language Models Good grasp of data processing and feature engineering techniques Fundamental statistical knowledge Familiarity with cloud platforms and distributed computation Fluent English speaker with strong communication and writing skills Intellectual curiosity and problem-solving ability Adaptability in fast-paced environments
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Sauge AI Market Intelligence

Industry Trends

Increasing adoption of LLMs in financial services for automated analysis and decision support, creating strong demand for specialized NLP engineers Growing emphasis on multilingual NLP capabilities as financial markets become more globally integrated Rising importance of ESG analysis driving demand for sophisticated text processing solutions in investment decision-making

Role Significance

Likely part of a specialized NLP team of 5-8 engineers within a larger technical organization of 20-30 people
Mid-to-Senior individual contributor role with significant technical autonomy and potential for architectural influence

Key Projects

Development of multilingual sentiment analysis systems for financial market intelligence Implementation of scalable LLM-based information extraction pipelines Creation of automated ESG scoring systems using natural language processing

Success Factors

Strong foundation in both traditional NLP techniques and modern LLM approaches Ability to balance theoretical ML knowledge with practical implementation skills Experience with high-performance computing and distributed systems Understanding of financial domain applications of NLP

Market Demand

Very High - Financial sector digital transformation and AI adoption creating strong competition for NLP talent, particularly in alternative data analysis

Important Skills

Critical Skills

Deep understanding of LLM architectures and their financial applications Experience with high-scale data processing and distributed computing Strong Python development skills with focus on ML frameworks

Beneficial Skills

Knowledge of financial markets and investment processes Experience with cloud infrastructure and MLOps Multilingual NLP expertise

Unique Aspects

Opportunity to work with multilingual NLP systems across 100+ languages
Direct application of NLP in financial decision-making contexts
Exposure to ESG and alternative data analysis in investment processes

Career Growth

2-3 years for advancement to team lead or senior technical role, given company's growth trajectory

Potential Next Roles

Lead NLP Engineer ML Architecture Lead AI Technical Product Manager Head of NLP Research

Company Overview

SESAMm

SESAMm is a specialized fintech company focusing on alternative data analysis through advanced NLP, serving major financial institutions globally

Growing player in the alternative data space with significant presence in major financial centers
Strong European base with global expansion through offices in key financial hubs
Dynamic, technology-driven environment with emphasis on innovation and global collaboration
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