Senior Applied AI Engineer
Databricks1 year ago
Belgrade, SerbiaSenior / Mid Level
Responsibilities
- Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
- Shape the direction of applied ML investment by engaging with engineering and product teams.
- Drive the development and deployment of state-of-the-art ML/AI models and systems.
- Architect and implement robust, scalable ML infrastructure for production environments.
- Work on novel modeling techniques in ML for forecasting.
- Contribute to the AI community by presenting at conferences and participating in open source projects.
Requirements
- 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
- Strong understanding of both computer systems and statistics.
- Experience developing AI/ML systems at scale in production.
- Strong track record of ML modeling beyond standard libraries.
- Strong coding and software engineering skills, with familiarity in testing and deployment.
- Willingness to develop in mathematical modeling beyond ML.
- Nice to have: experience deploying, scaling, and monitoring models in production.
Tech Stack
Apache SparkMLflow
Categories
Data Science
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.