AI Jobs

Benefits:

• learning opportunities

• mental wellbeing programs

• healthcare

• healthy work-life balance

• flexible working arrangements

Experience Requirements:

• Strong practical knowledge of Python

• Experience with geospatial data formats

• Experience with data pipelines

• Familiarity with async processing patterns

• Solid understanding of PostgreSQL

Other Requirements:

• outcome-oriented

• enjoy optimizing systems for performance and scale

Responsibilities:

• Build and optimize preprocessing pipelines

• Develop postprocessing services

• Design resilient, memory-efficient services

• Work on unified Huntr-to-Replika pipeline

• Tackle coordinate reference systems and spatial indexing

Benefits:

• learning opportunities

• mental well-being programs

• healthcare

• healthy work-life balance

• flexible working arrangements

Experience Requirements:

• Experience with Docker, Kubernetes, and Terraform

• Strong Linux system administration skills

• Solid understanding of networking, security, and infrastructure

• Experience with CI/CD pipelines

• Scripting proficiency in Python and Bash

Other Requirements:

• work within european hours

• Comfortable traveling to customer sites

Responsibilities:

• Build and operate Kubernetes clusters

• Own infrastructure as code using Terraform

• Design and improve CI/CD pipelines

• Enhance observability across the stack

• Maintain security standards

Experience Requirements:

• Strong grounding in machine learning / deep learning

• Experience with PyTorch, Python, and modern ML workflows

• Interest in geospatial data

• A curious mind and motivation

Other Requirements:

• European working hours

Responsibilities:

• Train and fine-tune vision models

• Research and implement cutting-edge ML architectures

• Contribute to no-code AI platform

• Apply foundation model adaptation techniques

Experience Requirements:

• Strong grounding in machine learning / deep learning

• Experience with PyTorch, Python, and modern ML workflows

• Experience with geospatial data

• A curious mind and motivation

Other Requirements:

• European working hours

Responsibilities:

• Train and fine-tune vision models

• Research and implement cutting-edge ML architectures

• Contribute to no-code AI platform

• Apply foundation model adaptation techniques

Experience Requirements:

• Strong grounding in machine learning / deep learning

• Experience with PyTorch, Python, and modern ML workflows

• Experience with geospatial data

• A curious mind and motivation

Other Requirements:

• European working hours

Responsibilities:

• Train and fine-tune vision models

• Research and implement cutting-edge ML architectures

• Contribute to no-code AI platform

• Apply foundation model adaptation techniques

Benefits:

• learning opportunities

• mental well-being programs

• healthcare

• healthy work-life balance

• flexible working arrangements

Experience Requirements:

• Strong practical knowledge of Python

• Experience designing and operating distributed systems

• Familiarity with async processing patterns

• Solid understanding of PostgreSQL

• Experience with ML infrastructure

Other Requirements:

• outcome-oriented

• comfortable navigating ambiguity

Responsibilities:

• Build and optimize ML orchestration pipelines

• Design resilient, high-throughput services

• Develop APIs and abstractions

• Collaborate with ML Researchers

• Tackle memory optimization and GPU autoscaling

Benefits:

• learning plans

• mental wellbeing programs

• personalized benefits

Experience Requirements:

• Experience in office management, event coordination, or team assistance

• German language skills at a minimum B2 level

• Fluent in English

• Confident using common office tools

• Experience with HR or time-management tools is a plus

Other Requirements:

• proactive and detail-oriented

• hands-on mindset

• reliable and discreet

Responsibilities:

• First point of contact for office-related topics

• Ensure smooth daily office operations

• Manage relationships and contracts with external vendors

• Coordinate travel arrangements

• Plan and execute internal company events