About the Role

We are seeking a Senior Machine Learning Engineer to join our team at Craft.AI and contribute to the development of innovative AI-driven solutions, including large language models (LLMs) and machine learning (ML) applications. You will work closely with our Product and Tech teams, play a key role in shaping the Platform’s future, and stay at the forefront of industry advancements. You will own end-to-end development from designing robust data pipelines to deploying and optimizing scalable ML / LLM-powered systems.

Key Responsibilities

• Develop and optimize LLM-powered applications and ML models.

• Design scalable data pipelines and deploy ML/LLM models in production.

• Collaborate on product roadmaps and contribute to continuous improvement of CraftGPT and other AI-based tools.

• Lead technical workshops and design sessions for new features.

• Handle full project lifecycles: problem definition, model deployment, and ongoing enhancements.

• Stress-test platform infrastructure and work closely with GPU-based environments.

• Support and mentor junior team members, contributing to team growth and recruitment efforts.

Conditions

• Team of high-level engineers and PhDs

• Hybrid work (office + remote)

• Located in Paris center

• Salary based on experience level

Required Technical Skills

• Strong proficiency in Python, with experience in product development.

• Expertise in ML techniques, LLM methods, and open-source techniques.

• Experience with key tools and libraries: FastAPI, SQLAlchemy, TensorFlow/PyTorch, Docker, Transformers, VectorDB, model quantization, and deployment frameworks (vLLM, LMdeploy).

• Familiarity with cloud platforms (AWS, GCP) and system design for scalable architectures.

• Applied knowledge of containerization (Docker, K8s) and GPU instance management.

• Strong understanding of MLOps workflows, CI/CD, and version control systems like Git.

Preferred Experience

• 3+ years in data science or Machine Learning roles.

• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and NLP.

• Experience with cloud services, including S3 and virtual machines, and cloud infrastructure best practices.

Soft Skills

• Leadership and team spirit with an ability to mentor and coach.

• Strong sense of ownership, with a proactive and autonomous working style.

• Curiosity to stay updated with the latest industry trends and technologies.

• Excellent communication skills and the ability to collaborate with cross-functional teams.

JoinCraft.AI and lead the future of AI-driven product innovation in a dynamic, collaborative environment!

• HR interview

• Take-home technical project (2/3 hours)

• On-site project presentation with the team + discussions about LLM usecases and CI/CD