Machine Learning Engineer
Core
Design, build, and refine AI/ML prototypes for Discovery and Alpha initiatives, transforming experimental models into scalable solutions.
Role type
Machine Learning Engineer (Prototyping & MLOps)
Builds
Scalable AI/ML prototypes and technical architectures for client-facing digital products
Domain
Digital consultancy, AI/ML product development, LLMs, and intelligent search
Deliverable
production ML models
Required skills
ML pipeline development, API design, cloud-based deployments, automated testing, software engineering (Python), CI/CD implementation, MLOps tooling, containerization, LLM integration, vector databases, retrieval-augmented generation, intelligent search, technical documentation
Preferred skills
Experience in Discovery/Alpha phases, rapid prototyping
Technologies
Python, CI/CD, cloud platforms, MLOps tools, containerization, vector databases, LLM frameworks
Responsibilities
Build and optimize AI/ML prototypes, develop technical design documentation, implement automated deployment pipelines, deploy models to test environments, collaborate on model integration and feature engineering, ensure codebase best practices, support technical reviews and knowledge transfer
