. Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk. Collaborate with engineering... evaluations, holdouts — to test agent behavior, prompt or model changes, and feature variants. Define hypotheses, success metrics...
integrations, or API management. Familiarity with AI/ML platform infrastructure, MCP servers, or model-facing backend systems... agents or model-assisted tasks where useful. You are willing to complete a live coding assessment as part of the process...
. Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk. Collaborate with engineering... evaluations, holdouts - to test agent behavior, prompt or model changes, and feature variants. Define hypotheses, success metrics...
). Work with SQL and enterprise data sources to model, validate, and serve data for downstream users and systems. Collaborate... ML concepts when needed Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude...
decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices..., ambiguous delivery environments Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data...
, Reproducibility & Responsible AI Enforce ML governance: model versioning, experiment lineage, artifact management, approval... taking ML models from experimentation to production, including training automation, model packaging, deployment...
: Using MLflow for experiment tracking and model registries. Familiarity with LLMs, Vector Search, and GenAI integrations... Analysts, and ML Engineers to prepare data features and support BI reporting, ML training, and generative AI initiatives...
architecture for microservices, APIs, and data pipelines supporting MLmodel serving Conduct architecture reviews, threat modeling... architecture for microservices, APIs, and data pipelines supporting MLmodel serving Conduct architecture reviews, threat modeling...
modeling or ML/data science background feature engineering, experimentation or model evaluation Experience with MLOps/LLMOps.... Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong...
, predictive models, and proof‑of‑concepts using Python and modern ML libraries. Work with SQL and other database query languages... to support model development, automation, and system integration. Present analytical concepts, project progress, and results...