Tiime

ML/LLM Engineer, Python

Tiime

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformGraphQLKubernetesPythonPyTorchTensorflow

About the role

  • Develop and optimize AI solutions centered around Large Language Models, notably those hosted via AWS Bedrock / Gemini
  • Participate in creating, training and fine-tuning language models (using PyTorch or TensorFlow)
  • Implement Agentic Orchestration mechanisms (e.g., LangChain Agents, or equivalent frameworks)
  • Implement and deploy data and text processing pipelines (preprocessing, cleaning, vectorization, etc.) using Python
  • Design and maintain APIs (REST or GraphQL) for model inference and production access
  • Work closely with DevOps and Data Engineering teams to deploy solutions on the cloud (AWS, GCP, or Azure)
  • Maintain continuous technological watch and propose ongoing improvements

Requirements

  • Proven Python development experience (minimum 3 years)
  • Strong knowledge of standards and best practices (testing, refactoring, etc.)
  • Ideally, a solid background in Machine Learning / Deep Learning, particularly in Natural Language Processing (NLP)
  • Proficiency with at least one deep learning framework (PyTorch, TensorFlow)
  • Deep understanding of how transformers work (Hugging Face, etc.)
  • Familiarity with MLOps concepts and tools (Docker, Kubernetes, GitHub Actions / GitLab CI, MLflow or DVC)
  • Specific experience with RAG (Retriever-Augmented Generation), embedding techniques (e.g., FAISS, Milvus) and Agentic Orchestration (LangChain, LlamaIndex, AI SDK or equivalents)
  • Experience with managed AI services (AWS Bedrock / Gemini / Azure, etc.)
Benefits
  • Meal vouchers and reimbursement covering up to 50% of your transport pass
  • A sustainable mobility allowance that can finance up to €500 toward an eco-friendly means of transport (bike, electric scooter, self-balancing scooter, unicycle, hoverboard, etc.)
  • A profit-sharing bonus
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMachine LearningDeep LearningNatural Language ProcessingPyTorchTensorFlowAgentic OrchestrationData Processing PipelinesAPI DesignTransformers
Soft Skills
collaborationproblem-solvingcontinuous improvement