Senior Applied AI Engineer

Databricks Databricks · Data AI · Belgrade, Serbia · Engineering - Pipeline

Senior Applied AI Engineer at Databricks focused on applying ML and optimization algorithms to improve user-facing products like AutoML, classification, regression, forecasting, and recommendations. The role involves building end-to-end systems, deploying ML/AI models, and architecting scalable ML infrastructure for training and serving. Experience with novel modeling techniques in ML for forecasting is a plus.

What you'd actually do

  1. Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
  2. Shape the direction of our applied ML investment by engaging with engineering and product teams across the company.
  3. Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
  4. Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
  5. Work on novel modeling techniques in the field of ML for forecasting.

Skills

Required

  • machine learning engineering experience
  • computer systems
  • statistics
  • AI/ML systems at scale in production
  • ML modeling
  • coding and software engineering skills
  • testing
  • code reviews
  • deployment

Nice to have

  • deploying, scaling, and monitoring models in production
  • infrastructure challenges posed by training and serving predictions in Tier 0 environments
  • mathematical modelling beyond the ML

What the JD emphasized

  • end-to-end systems
  • deployment of state-of-the-art ML/AI models
  • ML for forecasting
  • Experience developing AI/ML systems at scale in production
  • Strong track record of ML modeling that goes beyond using standard libraries.

Other signals

  • applying ML to improve user-facing products
  • end-to-end systems
  • deployment of state-of-the-art ML/AI models
  • ML for forecasting