NLPML Engineer MF

SESAMm

SESAMm 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 wellknown firms around the world in private equity investment banking insurance and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track ereputation 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. Youll collaborate with crossfunctional 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 & Finetuning: Leverage adapt and finetune stateoftheart 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 nontechnical 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

• Masters 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 handson experience with Large Language Models.

Technical Skills

• Software Development: Strong expertise in Python programming (including ObjectOriented Programming best practices).
• ML/NLP Libraries: Proficiency with common Machine Learning and NLP libraries (e.g. NumPy Pandas ScikitLearn 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 finetuning and evaluating NLP models and Large Language Models (e.g. GPTbased models BERT sequencetosequence 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 fastpaced evolving technological landscape.
• Strong motivation and collaborative spirit.

Bonus:

• If you have any personal or opensource 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 companys growth.
• Career development: SESAMm is growing quickly which means the opportunities for your own growth are continually expanding and that you can shape the companys culture and evolution.
• Professional evolution: SESAMm values training and knowledgesharing. We organize internally and externally led training sessions and pay for access to educational platforms.
• Transparency: You will be kept apprised of the companys continuing evolution and performance through monthly Ask Me Anything meetings frequent business/finance updates and strategysharing discussions.
• Wellbeing: 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