Senior Machine Learning Engineer
Skills
Computer VisionDeep LearningGenerative AILarge Language ModelsMachine LearningPytorchPython
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong programming skills in Python
- Understanding of machine learning and deep learning algorithms
- Experience with generative AI model components, including transformers and autoencoders
- Proficiency with machine learning frameworks and libraries such as LangChain or PyTorch
- Experience in deploying machine learning models in production environments
- Solid understanding of data pre-processing, feature engineering, and model optimization techniques
- Excellent problem-solving skills
- Ability to convey technical information effectively to both technical and non-technical colleagues
- Availability to travel to Paris each quarter and stay for 1-2 weeks
Nice to have
- Knowledge of serverless architectures and cloud environments
- Creation of LLM agents and integration of LLM outputs into code
- Familiarity with software development best practices, version control systems
- Interest in 3D graphics, photography or 3D modelling software
- Understanding of computer vision algorithms
Day to day
- Develop and deploy machine learning models, focusing on large language models, generative AI, and computer vision applications
- Refine existing generative AI algorithms to improve current pipelines
- Develop prototypes and proof-of-concepts to showcase new features and capabilities
Hiring process
- Submit your resume
- Cover letter detailing your experience and why you are a good fit for this role
- Any relevant portfolio or project links