About the Role

Job Title: NLP/ML Engineer (M/F)
Location: Paris
Type of Contract: Full-time
Start Date: June 2025

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.

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.

Desired Background and Skills

• Education: Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics, or a related field.
• 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).
  • 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 collaborate with colleagues around the world.
• Work Environment: Multicultural teams in the US, France, and Tunisia contribute to the company’s growth.
• Career Development: Opportunities for personal growth and shaping the company’s culture.
• Professional Evolution: Training and knowledge-sharing sessions, with access to educational platforms.
• Transparency: Regular updates on the company’s evolution and performance through meetings and discussions.
• Well-being: Focus on teamwork, thoughtfulness, and work/life balance.