Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
About the role
- Machine Learning Engineer position at RATP focuses on developing and optimizing Generative AI solutions. Engage with data science and machine learning within the company’s Data Factory.
Responsibilities
- Actively contribute to the development, enrichment and continuous improvement of our Generative AI solutions.
- Instantiate and operate our AI assistants (RAG solutions).
- Deploy and configure AI assistants to address business use cases.
- Design and iterate with business stakeholders to adapt assistants to the business context.
- Monitor the operation of AI assistants in production.
- Continuously improve the performance of various business chatbots.
- Contribute to the development of modular and reusable components.
Requirements
- Currently pursuing a Bachelor's (Bac+3) or a Master's year (Bac+4) at a French engineering school.
- Strong background in data science and machine learning, with a strong interest in generative AI and LLMs.
- Proficiency in Python and associated tools (e.g., venv, Ruff, pre-commit, ...).
- Experience with generative AI frameworks (LangChain, Pydantic AI, …) and API development (FastAPI).
- Familiarity with Azure managed services is a plus (AI Search).
- Strong analytical and synthesis skills.
- Autonomy, curiosity, innovative and entrepreneurial mindset.
- Strong inclination for teamwork.
- Good communication skills.
Benefits
- Remote work possible
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.
ML infra engineer tasked with building large - scale infrastructure for generative AI at Adobe. Involves extensive experience in deep learning, PyTorch, and cloud platforms.
Open Source Triage Lead managing GitHub repositories for Ultralytics, contributing to AI development and community support.
Senior Machine Learning Engineer developing predictive solutions for business challenges within healthcare. Leveraging GCP and Vertex AI to bridge data science and engineering.
Software Developer Specialist focusing on ML Infrastructure and Deployment at Verafin. Engaging with analytics teams to develop fraud detection products with DevOps and MLOps principles.
Junior AI/ML Engineer supporting data preprocessing and model evaluation at Node.Digital. Collaborate on AI/Machine Learning efforts with government and commercial clients.
Machine Learning Engineer optimizing multimodal embedding models for AI - driven video analysis at Twelve Labs. Collaborating with global teams to enhance production pipelines and model performance.
Machine Learning Ops Engineer deploying and optimizing ML models at Affinity Water. Collaborating with teams to enhance the reliability of analytics solutions.