6 часов назад
Engineer I - Software (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer I - Software (AI/ML) (Databricks/dbt/AWS): Building and operating production AI and data pipelines in a modern lakehouse environment with an accent on feature engineering, model lifecycle management, and governed data transformations. Focus on designing scalable Spark workloads, deploying and monitoring ML and LLM-enabled systems, and improving reliability and cost efficiency across AWS infrastructure.
Location: Chandler, Arizona, United States; onsite
Company
is a large semiconductor and technology company developing products and solutions that power connected and embedded technologies worldwide.
What you will do
- Design and implement machine learning training and batch inference pipelines on Databricks using Spark and MLflow.
- Develop, deploy, evaluate, version, and monitor classification, regression, forecasting, NLP, and LLM-enabled workloads.
- Build embedding pipelines, semantic search systems, and retrieval-augmented generation workflows.
- Architect dbt Core transformation and data contract layers, including incremental models, snapshots, testing, freshness validation, and CI pipelines.
- Design and optimize bronze, silver, and gold Delta Lake pipelines, including governance, lineage, access control, and compute efficiency with Unity Catalog.
- Build secure AWS-based AI workflows, implement CI/CD, resolve production failures, and improve reliability, auditability, and resource utilization.
Requirements
- 0–3 years of professional experience in AI, machine learning, data engineering, or analytics engineering.
- Strong production experience with dbt Core and advanced SQL, including performance tuning.
- Hands-on experience with Databricks, Spark, Delta Lake, and MLflow.
- Experience building end-to-end AI/ML pipelines on AWS and proficiency in Python for machine learning and data processing.
- Experience deploying and monitoring AI workloads, including model and data drift monitoring.
- Ability to work onsite in Chandler, Arizona; travel requirement is 0%–25%.
Nice to have
- Experience with centralized, versioned feature datasets.
- Exposure to vector databases or LLM-based systems.
- Experience implementing model monitoring and drift detection frameworks.
- Experience supporting near-real-time AI systems.
Culture & Benefits
- Work in a 17,000-member global technology organization.
- Employee development supported through leadership and career growth programs.
- Culture emphasizes trust, empowerment, respect, diversity, communication, and values-based decision-making.
- Physical work profile includes approximately 80% sitting, 10% standing, and 10% walking indoors.
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