# Senior Applied AI Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Belgrade, Serbia
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Machine Learning, Artificial Intelligence, Python, Statistics, Computer Systems, Deep Learning, Forecasting, Model Training, Model Serving, Machine Learning Infrastructure, Model Monitoring, Software Testing, Open Source
**Posted:** 2026-08-11

> Develop and deploy scalable machine learning and AI systems for user-facing products, including forecasting and AutoML capabilities. The role requires strong production ML engineering, modeling, software engineering, statistics, and systems knowledge.

## Job Description

## Responsibilities
- Build features and run end-to-end machine learning systems in a small team of engineers and data scientists.
- Shape the direction of applied machine learning investment by engaging with engineering and product teams across the company.
- Drive development and deployment of state-of-the-art machine learning and artificial intelligence models and systems impacting products, infrastructure, and services.
- Architect and implement robust, scalable machine learning infrastructure, including model training and serving components for production integration.
- Develop novel machine learning modeling techniques for forecasting.
- Contribute to the broader AI community through conference presentations and open-source projects.

## Requirements
- 2–8 years of machine learning engineering experience in high-velocity, high-growth companies.
- Strong understanding of computer systems and statistics.
- Experience developing AI/ML systems at scale in production.
- Strong track record of machine learning modeling beyond standard libraries.
- Strong coding and software engineering skills.
- Familiarity with testing, code reviews, and deployment practices.
- Broad knowledge of, or willingness to develop, mathematical modeling beyond machine learning.

## Nice-to-haves
- Experience deploying, scaling, and monitoring models in production.
- Understanding of infrastructure challenges involved in training and serving predictions in Tier 0 environments.

## Compensation and Benefits
- Comprehensive benefits and perks are offered, with details varying by region.

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**Canonical:** https://hotfix.jobs/jobs/9990d4e4-a3e4-4716-8c77-afb49052c8af