AI/ML Engineer
Core
Designing, developing, and maintaining scalable data pipelines and Machine Learning models to power AI and Machine Learning products for next-day delivery logistics.
Role type
Mid-level Applied AI/ML Engineer
Builds
Scalable data pipelines, forecasting models, AI agents, RAG systems, and LLM applications
Domain
Logistics / AI & Machine Learning
Deliverable
production ML models | product features
Required skills
Python, SQL, Google Cloud ecosystem (BigQuery, Vertex AI, Cloud Run), Machine Learning model development, feature engineering, data transformation pipelines, LLMs, RAG, AI agents, prompt engineering, vector databases
Preferred skills
Git, REST APIs, modern software engineering best practices
Responsibilities
Designing and maintaining scalable data pipelines and BigQuery datasets; Building, deploying, and optimizing ML models and Applied AI solutions; Collaborating with Product and Engineering teams to translate business problems into production-grade AI capabilities
Seniority
Mid-level, hands-on IC