Cloud and MLOps Engineer INTERNS & WORK STUDENTS

Remote
Internship
IT / Software

We are an early stage start-up (in stealth mode), with a passion to revolutionize the $10+ Trillion global AEC (Architecture, Engineering and Construction) industry using Domain AI and Frontier Tech, unlike anything before. Founded by technology entrepreneurs with a background in the AEC industry and advanced practitioners of AI.

Tasks

Join us to solve some cutting-edge construction tech problems and be a part of international POCs & Pilots.

We are looking for Interns and Work Students to solve some interesting challenges in the area of DevOps, MLOps, Cloud and IoT. This is a unique opportunity to apply your academic knowledge & skills in real-world applications and learn from experts. You will be working and learning from a founder, who has rich experiences in designing and implementing large-scale cloud infrastructures and DevOps process within the industry.

  • Use Infrastructure-as-Code (IaC) and DevOps methodologies to establish a green-field cloud architecture, later integrating IoT and edge devices
  • Enable Self-Service and MLOps-DevOps best-practices for Software and ML Engineers
  • Design and implement efficient development, prototyping, training and production processes for ML engineers
  • Automate ML models deployments
  • Manage, monitor, troubleshoot ML infrastructure

Technology Stacks: Google Cloud Platform (GCP), Terraform, GitLab & GitLab CI/CD, NoSQL Databases, Docker & Kubernetes, Kubeflow, DVC.

Requirements

Students of Master and Ph.D. programs in Computer Engineering. Strong programming skills in Python.

This is a unique opportunity to apply your academic knowledge & skills in real world applications and learn from experts.

We are an early stage start-up (in stealth mode), with a passion to revolutionize the $10+ Trillion global AEC (Architecture, Engineering and Construction) industry using Domain AI and Frontier Tech, unlike anything before. Founded by technology entrepreneurs with a background in the AEC industry and advanced practitioners of AI.

Tasks

Join us to solve some cutting-edge construction tech problems and be a part of international POCs & Pilots.

We are looking for Interns and Work Students to solve some interesting challenges in the area of DevOps, MLOps, Cloud and IoT. This is a unique opportunity to apply your academic knowledge & skills in real-world applications and learn from experts. You will be working and learning from a founder, who has rich experiences in designing and implementing large-scale cloud infrastructures and DevOps process within the industry.

  • Use Infrastructure-as-Code (IaC) and DevOps methodologies to establish a green-field cloud architecture, later integrating IoT and edge devices
  • Enable Self-Service and MLOps-DevOps best-practices for Software and ML Engineers
  • Design and implement efficient development, prototyping, training and production processes for ML engineers
  • Automate ML models deployments
  • Manage, monitor, troubleshoot ML infrastructure

Technology Stacks: Google Cloud Platform (GCP), Terraform, GitLab & GitLab CI/CD, NoSQL Databases, Docker & Kubernetes, Kubeflow, DVC.

Requirements

Students of Master and Ph.D. programs in Computer Engineering. Strong programming skills in Python.

This is a unique opportunity to apply your academic knowledge & skills in real world applications and learn from experts.

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Updated: 10 days ago
Job ID: 2363264
About Conxai Technologies GmbH
CONXAI is a deep tech start-up, with a passion to revolutionize the $10T global AEC industry using Domain AI and Frontier Tech. The company was founded in early 2020 by technology entrepreneurs with backgrounds in the AEC industry and AI. Time and cost overruns are all-too-common problems in the construction industry. Fragmented value chain consisting of multiple stakeholders, often with conflicting interests, results in major misalignments between the design, planning and on-site execution processes. CONXAI Digital Twin synchronizes AS-BUILT with AS-DESIGNED and creates a single source of truth. Our technology monitors the construction environment at different levels of detail, starting from a larger chunk of activities, such as concreting, to focusing attention on cost-critical details pertaining to quality, HSE and logistics. It interprets AS-BUILT with respect to AS-DESIGNED and brings real time awareness of these cost-critical details to respective stakeholders.
2-10 employees
Information Technology (IT)
München, Germany
 
München, Germany
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