Overview
Machine Learning Engineer (AI Studio) with independent ownership of defined production ML/AI components for enterprise AI products and automation solutions.
What you'll do
- Define component boundaries, intended use, acceptance criteria, and support expectations with product and architecture partners.
- Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool, and workflow components with testing, error handling, and documentation.
- Apply statistical and ML techniques such as EDA, feature engineering, supervised/unsupervised methods, cross-validation, and error analysis.
- Build GenAI/NLP/RAG/bounded agent components including structured output, embeddings, hybrid search, reranking, and citations.
- Engineer batch or event-driven pipelines for data, documents, features, embeddings, labels, and evaluation with validation and lineage.
- Define evaluation measures for quality, uncertainty, retrieval grounding, safety, latency, cost, and user impact.
- Release and support components using cloud services, containers, CI/CD, monitoring, rollback, and incident response.
What you'll need
- Bachelor’s or Master’s degree.
- 5 to 9 years of Computer Science, IT, or related field experience.
- Production software/AI-ML system design skills using Python and SQL, APIs, background jobs, event flows, testing, performance, observability, and source control.
- Statistics, modeling, and experimentation skills including EDA, feature engineering, cross-validation, leakage prevention, calibration, and uncertainty work.
- GenAI/RAG/agent skills including prompt/context management, structured output, chunking, embeddings, hybrid retrieval, reranking, citations, and access-aware retrieval.
- Batch/event-driven pipeline experience using data stores and cloud-scale systems.
- Experience with AI evaluation and MLOps/LLMOps practices such as versioning, CI/CD, release gates, monitoring, incidents, and runbooks.
Details
- Career level: GCF 4 – Senior Associate.
- Career track: Individual Contributor.
- Organization: Applied AI | AI Studio.
Read the full description and apply on the company’s own careers page.
