- Company Name
- Flo Health Inc.
- Job Title
- AI/ML engineer
- Job Description
-
**Job Title:** AI/ML Engineer
**Role Summary:**
Develop, fine‑tune, and operationalise large‑language‑model (LLM) solutions for a global health & fitness platform. Design and maintain end‑to‑end ML pipelines, evaluation frameworks, and deployment workflows to enable safe, scalable, and compliant AI services for millions of users.
**Expectations:**
- 4+ years of professional ML engineering experience
- Proven track record deploying production‑grade AI/ML systems
- Deep knowledge of the ML/LLM lifecycle (CI/CD, versioning, testing)
- Passion for responsible AI (fairness, transparency, safety)
**Key Responsibilities:**
- Design and implement automated pipelines for LLM training, fine‑tuning (LoRA/SFT), evaluation, and deployment
- Build and maintain AI Judge frameworks to assess model safety, medical accuracy, and performance
- Develop CI/CD workflows for ML/AI engineering, including experiment tracking, model versioning, and automated testing
- Orchestrate model, AI agent, and inference endpoint deployment with rollback and monitoring capabilities
- Implement comprehensive monitoring for performance drift, safety metrics, and compliance
- Conduct research and adopt best practices in LLMs and generative AI
- Collaborate cross‑functionally with Product, Security, Analytics, Marketing, and Legal teams
**Required Skills:**
- Proficient in Python for model development, experimentation, and deployment
- Experience with MLflow, experiment tracking, and model registries
- Hands‑on with Databricks or equivalent: Unity Catalog, MLflow, Databricks ML workspace
- Cloud expertise (AWS, GCP, or Azure) and AI‑specific services
- Strong understanding of LLM fine‑tuning techniques, prompt engineering, and evaluation
- Systems‑design skills for scalable ML/LLM pipelines
- CI/CD, Git, Docker, and container orchestration knowledge
- Excellent communication and teamwork abilities
- Commitment to responsible AI principles
**Required Education & Certifications:**
- Bachelor’s (or higher) in Computer Science, Data Science, Machine Learning, or related field
- Relevant certifications (e.g., AWS/Azure/GCP ML services, Databricks, Docker/Kubernetes) preferred but not mandatory.