Ai & ML Engineer

- Bachelor’s or Master’s degree in Computer Science/Engineering/related field, or demonstrable relevant experience - Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage - Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred) - Proven experience deploying and operating ML systems in production (batch and real-time) - The role requires a blend of technical depth and product sense, including - An interest in evaluating new AI technologies and contributing to technical discussions around build, buy or configure decisions - Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring - Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling) - Effective communication skills and ability to work with both technical and non-technical stakeholders - Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques - Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK) - A working understanding of cloud networking and platform infrastructure - Experience with recommender systems and ranking models - Knowledge of vector databases and retrieval strategies - Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize) - Experience in e-commerce or retail environments