NLP/ML Engineer (M/F)

SESAMm

SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk.
We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors.

SESAMm is growing quickly, with 70 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo.

Key technologies: Alternative Data, Natural Language Processing, Machine Learning, and Quantitative Analysis.

Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?

At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support, and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. Join us and become part of a great adventure — one where your work makes a real impact on our collective success.

The NLP/ML Engineer Role

We are seeking a Natural Language Processing (NLP) Specialist with a strong focus on Large Language Models (LLMs) to join our innovative team. In this role, you will work at the intersection of text analytics and advanced language modeling, designing and implementing solutions that leverage the power of LLMs to extract insights from unstructured textual data. You'll collaborate with cross-functional teams to develop, optimize, and deploy language processing systems that address complex business challenges.

Key Activities:

• Develop & Implement NLP Solutions: Design, implement, and refine algorithms and models to process, understand, and generate human language from large datasets.
• Data Preparation & Feature Engineering: Prepare, clean, and structure complex textual data; engineer relevant features to optimize model performance for specific NLP tasks.
• LLM Application & Fine-tuning: Leverage, adapt, and fine-tune state-of-the-art machine learning models, with a strong emphasis on Large Language Model (LLM) applications.
• Technology Exploration & Evaluation: Utilize, test, and benchmark relevant frameworks, libraries, and tools (e.g., Hugging Face, PyTorch/TensorFlow, SpaCy) for NLP and ML tasks. Identify and experiment with novel approaches.
• Prototyping & Validation: Build prototypes, conduct evaluations, and rigorously assess the effectiveness and suitability of developed solutions.
• Documentation & Knowledge Sharing: Document methodologies, findings, and technical specifications. Present results and insights to technical and non-technical stakeholders.

An excellent level of English proficiency, very good interpersonal skills and strong motivation are required. The candidate will need to demonstrate autonomy and innovation in the face of a constantly changing environment. The list of tasks described is not necessarily exhaustive and may be modified according to the constraints of the company and the evolution of its needs.

Desired Background and Skills

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.

Technical Skills

• Software Development: Strong expertise in Python programming (including Object-Oriented Programming best practices).
• ML/NLP Libraries: Proficiency with common Machine Learning and NLP libraries (e.g., NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow, Hugging Face Transformers, SpaCy).
• Machine Learning Foundations: Solid understanding of core Machine Learning concepts (supervised & unsupervised learning, deep learning principles).
• LLM Practical Skills: Experience implementing, training, fine-tuning, and evaluating NLP models and Large Language Models (e.g., GPT-based models, BERT, sequence-to-sequence models). Understanding of techniques like prompt engineering or RAG is beneficial.
• Data Handling: Good grasp of data processing and feature engineering techniques tailored for textual data.
• Analytical Foundations: Fundamental statistical knowledge for result interpretation and model evaluation.
• Environment: Familiarity with cloud platforms (e.g., AWS) and distributed computation (e.g. spark) is a plus.
  
  

Soft Skills: 

• Fluent English speaker with strong communication and writing skills. Intermediate French is a plus.
• Intellectual curiosity and a drive to solve challenging problems.
• Ability to work independently and demonstrate initiative.
• Adaptability in a fast-paced, evolving technological landscape.
• Strong motivation and collaborative spirit.

Bonus: 

• If you have any personal or open-source projects relevant to NLP or data science, please provide a link (e.g., GitHub)

Benefits of Working at SESAMm

• Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.
• Work environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.
• Career development: SESAMm is growing quickly, which means the opportunities for your own growth are continually expanding, and that you can shape the company’s culture and evolution.
• Professional evolution: SESAMm values training and knowledge-sharing. We organize internally and externally led training sessions and pay for access to educational platforms.
• Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.
• Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

Job Specifics

• Location: Paris
• Type of contract: CDI
• Start Date: June 2025