- Company Name
- Cleo
- Job Title
- Graduate Machine Learning Engineer
- Job Description
-
**Job Title:** Graduate Machine Learning Engineer
**Role Summary**
Build and deploy machine‑learning models that enhance credit, payments, risk, and conversational AI across a fintech platform. Work with a cross‑functional squad to turn business problems into data‑driven solutions, integrate large‑language models, and maintain model performance in production.
**Experiences & Expectations**
- Recent graduate with a strong foundation in machine‑learning concepts and programming.
- Proven ability to develop, evaluate, and iterate models in a fast‑moving product environment.
- Eager to learn production‑grade MLOps, monitoring, and data‑driven experimentation.
- Strong collaboration with backend, frontend, data‑analytics, and design teams.
**Key Responsibilities**
- Design, train, and evaluate ML models for risk scoring, payment optimization, intent classification, and contextual recommendation.
- Integrate LLMs for conversational agents and intent understanding.
- Deploy models into production using the company’s in‑house ML platform; containerize pipelines (Docker, Kubernetes).
- Implement monitoring for feature drift, accuracy, and API performance; troubleshoot and iterate.
- Emit structured data for every feature to enable end‑to‑end observability and product improvements.
- Conduct A/B tests or controlled experiments to validate business impact.
- Collaborate in sprint planning, code reviews, and continuous delivery cycles.
**Required Skills**
- Python programming; experience with scikit‑learn, PyTorch, or TensorFlow.
- MLOps fundamentals: model packaging, CI/CD pipelines, containerization, orchestration.
- Data engineering basics: SQL, data preprocessing, feature engineering.
- Understanding of supervised/unsupervised learning, evaluation metrics, hyper‑parameter tuning.
- Exposure to LLMs (e.g., OpenAI, HuggingFace) and fine‑tuning practices.
- Strong analytical mindset; ability to translate business goals into algorithmic solutions.
- Version control with Git; experience with cloud services (AWS, GCP, Azure) is a plus.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field.
- No mandatory certifications, but ML or data‑science certifications (AWS Certified Machine Learning, GCP Professional Data Engineer, etc.) are valued.