Senior Machine Learning Engineer
Core
Design and build innovative AI prototypes and deployable solutions to drive the organization's AI strategy forward, blending data science experimentation with software engineering.
Role type
Senior Machine Learning Engineer (AI Innovation)
Builds
AI prototypes, predictive modeling solutions, fraud detection systems, and agentic AI applications
Domain
Financial services / Cloud AI
Deliverable
production ML models | product features
Required skills
Python, SQL, cloud AI platforms (Vertex AI on GCP), advanced statistical concepts, machine learning algorithms, software engineering, data structures, cloud computing
Preferred skills
agentic AI solutions, multi-agent architectures, RAG pipelines, deep neural networks, NLP, financial services industry knowledge, open-source AI contributions
Technologies
Vertex AI, GCP, Git
Responsibilities
Analyse and interpret large data assets within cloud-hosted data warehouses; Collaborate across diverse business domains to solve complex analytical problems; Independently prepare datasets, conduct analytics, and develop deployable solutions; Lead projects through all phases of development and delivery; Define and evaluate the technical work of junior team members; Package, summarise, visualise, and translate analytical findings into compelling narratives
Seniority
Senior, hands-on IC with mentorship responsibilities