4 часа назад
Applied Data Scientist (AI)
160 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Data Scientist (AI): Building and deploying production machine learning models, robust data pipelines, and scalable data infrastructure with an accent on data engineering, ETL workflows, and high-volume data processing. Focus on optimizing real-time and unstructured data workflows, designing reliable production systems, and solving complex data challenges with Python, SQL, Spark, and cloud platforms.
Location: On-site at the New York City office; applicants must be U.S. citizens or nationals or U.S. lawful permanent residents.
Salary: $160,000–$200,000 plus equity
Company
builds an AI-native workflow orchestration engine for enterprises and public sector agencies.
What you will do
- Build, evaluate, and deploy machine learning and artificial intelligence models in production.
- Design, build, and maintain robust data pipelines and ETL workflows.
- Optimize data workflows and ensure the reliability and scalability of data infrastructure.
- Process unstructured data and high-volume real-time sensor data.
- Collaborate with engineering, research, design, product, and operations stakeholders.
- Explain complex technical concepts to non-technical stakeholders.
Requirements
- 5+ years of experience deploying machine learning and artificial intelligence models in production.
- Production experience with data engineering, ETL development, and data pipelines.
- Proficiency in Python and experience with Apache Spark or Flink.
- Strong understanding of databases, data warehousing, and cloud platforms such as AWS, GCP, or Azure.
- Extensive SQL experience with large datasets and ETL workflow design.
- Familiarity with Docker, Kubernetes, and workflow orchestration tools such as Airflow or Luigi.
Culture & Benefits
- Full-time, in-person work within a small, flat, and collaborative technical team.
- Cross-functional exposure across engineering, research, design, product, and operations.
- Compensation includes equity.
- Equal opportunity workplace that welcomes employees from diverse backgrounds.
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