Senior Applied AI Engineer

Databricks
Belgrade
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-8 yearsSkills: ["Machine learning","Statistics","Production","Coding","Software engineering"]

Senior Applied ML/AI Engineer responsible for applying machine learning and optimization to improve AutoML and user-facing products, building scalable ML infrastructure, and driving state-of-the-art models from development to production. You’ll work in a small team of engineers and data scientists, shape ML investment with cross-functional partners, and contribute to open source projects and conferences to bolster Databricks’ AI leadership.

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FursaFursa
Databricks
Databricks
1 year ago

Senior Applied AI Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Senior Applied ML/AI Engineer responsible for applying machine learning and optimization to improve AutoML and user-facing products, building scalable ML infrastructure, and driving state-of-the-art models from development to production. You’ll work in a small team of engineers and data scientists, shape ML investment with cross-functional partners, and contribute to open source projects and conferences to bolster Databricks’ AI leadership.
Location: Belgrade
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
  • •Shape the direction of our applied ML investment by engaging with engineering and product teams across the company.
  • •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.
  • •Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
  • •Work on novel modeling techniques in the field of ML for forecasting.

Key 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 that goes beyond using standard libraries
  • •Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment
Experience:2-8 yearsMachine learningAi
Skills:Machine learningStatisticsProductionCodingSoftware engineering
Languages:English
Tech Stack:Machine LearningModel DeploymentOpen Source

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn