Open Positions at enliteAI

Python Full Stack Developer
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Python Full Stack Developer

Design, build and deploy backend systems, development tools, services and web applications - putting our machine learning models to use. Work on challenging AI problems together with machine learning experts.

Job Description

At enliteAI, we’re proud to offer innovative Artificial Intelligence-based software applications that meet the needs and wants of our customers. Detekt, one of our products, is a modern geospatial data platform for object and damage detection in mobile mapping data which had its product launch in April 2022. We are currently seeking an experienced and enthusiastic Python Full Stack Developer to support our multi-disciplinary development team for Detekt.

  • Build applications on top of machine learning pipelines, mainly for computer vision systems operating on large datasets
  • Deploy and maintain applications in various production environments (on-premises and in the cloud)
  • Design and specify API interfaces and data models, supported by an exceptional team of research scientists, data engineers and machine learning engineers
  • Support your team members by providing tooling for software development and for running machine learning jobs in cloud environments (CI/CD, orchestration)
  • Occasionally realize simple web frontends to support backend jobs
  • Contribute to all decisions along the development lifecycle by recommending the right tools (language, framework, database) for the job and by defining workflows and technical designs

Who we are looking for

  • Excellent Python programming skills, backend related technologies (e.g. Flask, MongoDB, SQLalchemy) and scientific Python libraries (Pandas, Numpy)
  • Knowledge of modern full-stack web technologies (e.g., React, TypeScript, Node.js, Modern ECMAScript, Angular)
  • Data engineering knowledge (SQL and noSQL databases, distributed systems)
  • Familiarity with standard workflows in software development (Git, issue management, Documentation, unit testing, CI/CD)
  • Operations skills (Linux, Docker, Kubernetes, Cloud computing)
  • Degree in computer science (BSc/MSc) or equivalent work experience (e.g. HTL)
  • 2 years of work experience, ideally in data-driven environments
  • Valid work permit for Austria

What we offer

  • Enthusiastic, research-driven team with rich expertise in machine learning, computer vision, generative adversarial networks, reinforcement learning as well as distributed training, data engineering, ML ops and cloud architecture
  • Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
  • Perks, e.g. time allotment for the free pursuit of individual R&D projects, training or conference participations, hosting of meetups
  • People first company culture, where we nurture your talents
  • Great office location in Vienna's 1st district
  • Continuous trainings and education

Job types

Full time
Part time

Compensation

52.000€ to 65.000€ per year based on full-time
Apply now
Machine Learning Engineer (Junior / Senior)
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Machine Learning Engineer (Junior / Senior)

Apply cutting edge research in Artificial Intelligence and Computer Vision to real-world optimization and decision problems.

Job Description

At enliteAI, we’re proud to offer innovative Artificial Intelligence-based software applications that meet the needs and wants of our customers. Detekt, one of our products, is a modern Geospatial Data Platform for object and damage detection in Mobile Mapping data which had its product launch in April 2022. We are currently seeking an experienced and enthusiastic Machine Learning Engineer to support our multi-disciplinary development team for Detekt.

Job description

  • Design, build, train and test Computer Vision components and data processing pipelines and integrate these components into a production-ready platform
  • Establish a Computer Vision platform for object detection, classification and georeferencing in multi-modal sensor data (images, videos, LIDAR), together with an exceptional team of Research Scientists, Data Engineers and Machine Learning Engineers
  • Create scalable workflows for training, execution and testing of Machine Learning algorithms
  • Identify state-of-the-art literature and libraries and assess its practical relevance for our customers and products
  • Also work on smaller projects in different team settings and different Machine Learning problems over time to facilitate knowledge transfer

Who we are looking for

  • Degree in computer science (BSc/MSc) or in a similar field
  • Excellent Python programming skills, knowledge of PyTorch and basic experience in a range of machine learning methods
  • Interest in the field of computer vision (segmentation, detection and classification architectures such as U-Net, RCNN, Yolo, Point-Nets)
  • Basic data engineering knowledge (SQL and noSQL databases, distributed systems, cloud computing)
  • Passionate about all things AI, machine learning and data science
  • Self-driven problem solver who enjoys coding as much as tinkering
  • Ability to work independently as well as part of a team
  • Valid work permit for Austria (must-have)

What we offer

  • Enthusiastic, research-driven team with rich expertise in machine learning, computer vision, generative adversarial networks, reinforcement learning as well as distributed training, data engineering, ML ops and cloud architecture
  • Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
  • Perks, e.g. time allotment for the free pursuit of individual R&D projects, training or conference participations, hosting of meetups
  • People first company culture, where we nurture your talents
  • Great office location in Vienna's 1st district
  • Continuous trainings and education
  • Flexible working hours, part-time option available

Job types

Full time
Part time

Compensation

45.000€ to 65.000€ per year based on full-time
Apply now
Product Manager AI Geospatial Data Platform
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Product Manager AI Geospatial Data Platform

Lead our multi-disciplinary development team for Detekt

Job Description

At enliteAI, we’re proud to offer innovative artificial intelligence-based software applications that meet the needs and wants of our customers. Detekt, one of our products, is a modern geospatial data platform for object and damage detection in mobile mapping data which had its product launch in April 2022. We are currently seeking an experienced and enthusiastic product manager to lead our multi-disciplinary development team for Detekt.

  • Take ownership of the vision, strategy, business requirements, and roadmap for Detekt
  • Translate product requirements to system and design requirement specifications
  • Leverage market data and customer feedback to inform and guide future product/feature development
  • Plan, execute and support sales and promotional activities and respond to new business opportunities
  • Support activities to create marketing and training materials
  • Attend conferences, trade shows and customer meetings as required

Who we are looking for

  • At least two years of related product manager experience or equivalent
  • Understanding of AI/computer vision concepts and corresponding data, ability to specify performance requirements. Knowledge of Geospatial Artificial Intelligence (GeoAI) is a plus.
  • Working knowledge of product development project milestones and deliverables
  • Experience driving elements of the product development lifecycle such as product vision and go-to-market strategy
  • Ability to work on complex projects with general direction and minimal guidance
  • Persuasive written and verbal communicator
  • Excellent knowledge of German and English (at least C1 level)
  • Structured, accurate and proactive independent working style

What we offer

  • Work closely with an enthusiastic & research-oriented development team with extensive expertise in artificial intelligence, computer vision, and software engineering
  • Laptop, company cell phone and technical equipment according to your wishes
  • Flexible work models: remote work, an office in Vienna's 1st district and minimal core hours
  • Budget for participation in trainings, conferences and personal development
  • An annual minimum salary starting at € 65,000  with the opportunity to overpay according to your individual qualifications and professional experience
  • Uncapped commission based on a success-oriented bonus scheme depending on successful sales performance

Job types

Full time
Part time

Compensation

> € 65.000 annually
Apply now
Public Funding Manager
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Public Funding Manager

We are a research-driven company and continuously engaged in a variety of national and international AI research projects. For administrative handling of our projects we are looking for a public funding manager to support our project teams

Job Description

  • Support for all organizational and administrative tasks related to funding projects, including 
  • Funding handling & accounting
  • Establishment of cross-project controlling and reporting system
  • Compilation of interim and final reports

Who we are looking for

  • Experience in funding management of (consortium) research projects, for example in an academic environment
  • Excellent knowledge of German and English (at least C1 level).
  • Affinity for machine learning technologies is a plus
  • Structured, accurate and proactive independent working style
  • Interest in new technologies and their contribution to a modern working environment

What we offer

We offer you a diverse and responsible job in a young startup that is growing rapidly in the AI environment and needs competent support along the way

Job types

Full time
Part time

Compensation

min. 27.440€ per year based on full-time
Apply now

Our Technology Stack

machine learning
PyTorch
dev
python
infrastructure
kubernetes
dev
jupyter
machine learning
Horovod
dev
Gitlab
machine learning
TensorFlow
machine learning
Ray
infrastructure
Helm
infrastructure
Skaffold
infrastructure
aws
infrastructure
Google Cloud Platform
infrastructure
Azure
data
mongoDB
redis
data
Hydra
dev
Apache Airflow
data