AI/ML Engineer
Role details
Job location
Tech stack
Job description
For a client active in retail, we are looking for an AI/ML Engineer to design, build, and deploy cutting-edge machine learning and generative AI solutions, including large language models (LLMs) and agentic systems. You will be responsible for building production-ready pipelines, integrating third-party and open-source models, and creating scalable APIs and tools that leverage state-of-the-art AI. You will support the growth and scalability of a peer-to-peer second-hand marketplace: a second-hand platform for furniture and home goods. This role is part of a newly formed team, offering a real opportunity to deploy machine-learning solutions into production. You will join a cross-functional product team (Product, Engineering, Design) to deploy machine-learning and AI solutions at scale, and you will also be part of the Data & Machine Learning job family, collaborating closely with Data Scientists, Data Engineers, and Data Analysts.
Scope of the consultant services
- Implement machine-learning models
- Design, fine-tune, and deploy large language models (LLMs)
- Integrate with external APIs for large-scale ingestion
- Build and deploy models to production with high reliability and low latency
Requirements
- Experienced in monitoring and maintaining model performance, handling retraining and model lifecycle management
- Experience working with DevOps to scale compute resources cost-effectively across cloud environments
- Solid understanding of data engineering fundamentals
- Familiarity with cloud platforms (GCP) and containerization (Docker, Kubernetes)
- Strong proficiency in Python and modern ML frameworks
- Solid understanding of MLOps best practices for generative AI (CI/CD, evaluation metrics, prompt testing)
- Strong problem-solving and analytical thinking
- Ability to work cross-functionally with product, engineering, and business teams
Most important 3 (as shared)
- Monitoring & maintaining model performance + retraining & lifecycle management
- Solid understanding of MLOps best practices for generative AI
- Strong problem-solving and analytical thinking