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Senior AI/ML Engineer(m/w/x)

Berlin
Full-timeOn-siteSenior
AI/ML

Description

As a Senior AI/ML Engineer, you will design and deploy cutting-edge AI solutions that enhance customer support and operational efficiency. This role involves collaborating with various teams to optimize machine learning models and lead innovative projects such as the Voice Assistant.

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Requirements

  • •7+ years of experience as a Machine Learning Engineer or AI Engineer
  • •Expert-level Python proficiency
  • •Strong previous experience as an ML or AI engineer
  • •Experience using GenAI / LLM API
  • •Experience building and deploying ML Models using Cloud platforms (AWS, GCP, or Azure)
  • •Familiarity with MLOps tools (e.g., MLFlow, Kubeflow, Airflow, Langfuse)
  • •Good understanding of data pipelines, API design, containers (Docker), and version control (Git)
  • •Experience building, maintaining, and scaling APIs
  • •Team player attitude
  • •Self-drive, proactiveness, and high adaptability
  • •Passion for AI Technology

Work Experience

7 years

Tasks

  • •Lead the Operations AI team in developing scalable ML/AI solutions
  • •Architect, design, and deploy AI systems in production environments
  • •Take ownership of main AI products like the AI Assistant and AI Translation
  • •Develop and maintain ML infrastructure and data processing pipelines
  • •Optimize and fine-tune machine learning models for high-quality input
  • •Embrace software development best practices, including version control and CI/CD
  • •Collaborate with Data Scientists, Product Managers, and Developers to enhance customer experience
  • •Rapidly master existing AI assistant infrastructure for behavior improvements
  • •Lead the pilot creation for the Voice Assistant and design new channel integrations

Tools & Technologies

PythonAWSGCPAzureMLFlowKubeflowAirflowLangfuseDockerGit

Languages

English – Business Fluent

Benefits

Competitive Pay

  • •Virtual Stock Option programme

Learning & Development

  • •Annual L&D budget of €2000

Retirement Plans

  • •Corporate pension scheme matching 20%

More Vacation Days

  • •28 days of paid leave

Healthcare & Fitness

  • •Urban Sports Club subsidy

Childcare

  • •Kita placement assistance

Free or Subsidized Food

  • •Subsidised office lunches

Workation & Sabbatical

  • •1-month sabbatical after 3 years

Bonuses & Incentives

  • •Referral Bonus
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