# Senior Applied AI Engineer

**Company**: Databricks
**Location**: Belgrade, Serbia
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8091041002
**Canonical**: https://yubhub.co/jobs/job_bc4a1959-a13

## Description

As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimisation algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products.

From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

- Building features and running end-to-end systems in a small team of experienced engineers and data scientists.

- Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.

- Driving 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.

- Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.

- Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

- 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 that goes beyond using standard libraries.

- Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.

- A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

## Skills

### Required
- machine learning
- optimisation algorithms
- AutoML
- deep learning
- feature augmentation
- auto-tuning
- statistical models
- computer systems
- statistics
- AI/ML systems
- software engineering
- testing
- code reviews
- deployment