
AI System Developer
2 days ago
Key Roles:
The successful candidate will drive the development and implementation of scalable and reliable data platforms and AI systems, focusing on foundational data pipelines, data lakes, and real-time data streams. Additionally, they will lead the end-to-end lifecycle of machine learning models from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment.
Core Responsibilities:
- Act as a strategic advisor guiding projects from concept to production, utilizing expertise in AI/ML and data engineering to deliver high-quality solutions.
- Collaborate with cross-functional teams to develop integrated solutions that align with business objectives.
- Drive innovation by staying current with advancements in AI, machine learning, and data engineering to introduce new technologies and methodologies.
Necessary Expertise:
- Hands-on experience in designing and implementing scalable AI systems in a production environment.
- Proficiency with modern data platforms and tools such as Databricks, Snowflake, Apache Spark.
- Expert-level proficiency in at least one key programming language including Python, Scala, or Java.
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