AI & Data Engineer
# AI & Data Engineer **Everforce Software India Pvt.LTD** · Santa Clara, CA 95054 · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role Position: AI & Data Engineer Location : Santa Clara, CA Salary : $110K-$150K + benefits Experience : 2-5 years Responsibilities: - Designing, building, and maintaining scalable data pipelines and ETL/ELT processes to ingest, clean, transform, and integrate structured and unstructured data from enterprise systems and other data sources. - Developing, training, testing, and deploying machine learning and artificial intelligence models, including, where applicable, integration of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) pipelines. - Integrating AI/ML models and data pipelines with enterprise applications, APIs, and cloud-based platforms. - Monitoring, troubleshooting, and optimizing the performance, quality, and reliability of data pipelines and models, including data validation and issue resolution. - Maintaining documentation, metadata, and data lineage to support governance, transparency, and auditability. - Collaborating with IT, data science, and business teams to gather requirements, refine solutions, and support ongoing AI and data initiatives. Deliverables: - Documented, production-ready data pipelines and ETL/ELT jobs, including source-to-target mapping and data quality checks. - Trained, validated, and deployed AI/ML models or model enhancements, together with relevant performance and evaluation metrics. - Integrations connecting AI/ML models and data pipelines to enterprise systems, applications, and/or cloud platforms. - Dashboards, reports, or monitoring tools to track data quality, pipeline health, and/or model performance. - Technical documentation covering data pipeline architecture, data lineage, model design, and deployment processes. - Periodic status updates and knowledge-transfer materials for IT and business teams. Pay: $110,000.00 - $150,000.00 per year Work Location: In person
Наблюдалась 2026-09-21, впервые 2026-09-18, источник — Indeed.