Senior AI/ML Engineer

Join Flo, a leading health and wellness app, as a Senior AI/ML Engineer. In this role, you will work at the intersection of machine learning engineering and MLOps, owning the development and operationalization of AI/ML systems. You will fine-tune and optimize large language models, build and maintain infrastructure for rapid experimentation and reliable deployment, and work with state-of-the-art technologies. You will also have the opportunity to participate in Flo's Employee Share Ownership Plan, enjoy generous family benefits, and have access to resources for personal and professional development.

• Développer, affiner et optimiser des modèles de langage de grande taille pour des applications de santé spécifiques au domaine.
• Concevoir et maintenir des pipelines automatisés pour l'entraînement, l'affinage, l'évaluation et le déploiement des modèles.
• Mettre en œuvre des pratiques CI/CD pour les flux de travail d'ingénierie ML/AI, y compris le suivi des expériences, la version des modèles et les tests automatisés.
• 7+ years of professional experience in machine learning, with hands-on experience building and deploying production-grade AI/ML systems
• If you're passionate about cutting-edge generative AI technologies and driven by building robust ML infrastructure that delivers value to millions of users, we would love to hear from you!
• Experience with modern ML infrastructure tools such as MLflow, experiment tracking systems, and model registries
• Databricks (or similar tooling) platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows
• Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines
• Understanding of the entire ML/LLM development lifecycle, including CI/CD, version control, testing, and agile methodologies
• Recent engineering experience with LLM infrastructure and tooling, including fine-tuning (LoRA, SFT or other), prompt engineering, and model evaluation
• Excellent communication skills and ability to collaborate with diverse teams
• Strong Python programming skills for efficient model development, experimentation, and deployment
• Cloud platform expertise with one of the Hyperscalers (AWS, GCP, or Azure) including AI-specific services
• Commitment to responsible AI practices, including fairness, accountability, and transparency
• AI model serving experience with modern inference servers and API gateways for AI applications
• Familiarity with statistical fundamentals and running and evaluating experiments
• Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else
• Experience building and managing data pipelines using tools like Apache Spark
• AI safety and governance experience with model evaluation, LLM judges, bias detection, and responsible AI practices
• Experience in the MedTech or HealthTech domain
• Infrastructure as Code experience with Terraform, Ansible, or other IaC tools
• Experience with LLM fine-tuning techniques including LoRA adapters, preference optimisation (RLHF/DPO), and model distillation
• Containerisation and orchestration experience with Docker, Kubernetes, and ML-specific operators
• Experience at a Tier-1 product company or related experience working within a product organisation