Machine Learning Engineer

What you’ll build

In this role, you’ll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You’ll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.

Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You’ll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You’ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale.