GlobalDev Tech

GlobalDev Tech

Custom software engineering & staff augmentation company Globaldev drives businesses to maximize their potential with our custom software development and staff augmentation services. Globaldev Group supports the most exciting technology companies, by p...

Internet Software & Services
51-250
Founded 2021

Description

  • Design and own end-to-end AI solution architectures, including data pipelines, AI services, integrations, and infrastructure requirements.
  • Define camera setups, imaging requirements, and hardware specifications for computer vision use cases.
  • Coordinate installations and integrations with internal teams.
  • Collaborate with Digital, IT Infrastructure, Software Engineering, and Master Data teams to deliver scalable and maintainable solutions.
  • Develop and deploy AI models on edge devices for low-latency or offline processing needs.
  • Create and optimize conversational AI for natural language interactions and improved user experiences.
  • Explore and incorporate emerging AI and machine learning technologies to improve solution efficiency and scalability.
  • Monitor model performance and conduct regular evaluations to maintain accuracy and reliability.
  • Contribute ideas in bi-weekly brainstorming and team innovation sessions.

Requirements

  • 4+ years of professional experience in Data Science, Machine Learning, or AI-related roles delivering data-driven solutions in business environments.
  • Experience designing end-to-end AI solutions, including software, infrastructure, and hardware components.
  • Solid understanding of networking concepts, API integrations, security, and system interoperability.
  • Solid understanding of machine learning algorithms, data preprocessing, and model training workflows.
  • Excellent proficiency in Python and common data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of computer vision systems, image acquisition pipelines, and camera-based automation solutions.
  • Experience with Azure cloud services, hybrid architectures, and on-premise deployments.
  • Ability to evaluate, select, and manage hardware vendors and technology partners.
  • Ability to design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and deployment.
  • Strong analytical and problem-solving skills with the ability to communicate complex findings clearly to technical and non-technical stakeholders.
  • Solid understanding of MLOps principles and model lifecycle management, including monitoring, retraining, and performance optimization.
  • Very good command of English; German and French are a plus.

Benefits

  • Comfortable working environment with challenging tasks and a long-term interesting project.
  • 20 days of vacation and 10 days of sick leave.
  • Health insurance with premium-level clinics.
  • Working with top-notch equipment.
  • Bookkeeping support from a professional accountant.
  • Help and support from a caring HR team.
  • Regular business trips to Switzerland.

Interested in this position?

Apply directly on the company website

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