
51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.
🕒 March 20
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51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.
• Scaling our infrastructure to support international growth • Collaborating closely with engineers in the development process • Automating infrastructure, improving performance, and enabling auto-scaling • Designing solutions with high availability, redundancy, and security in mind • Deploying and managing Infrastructure as Code using tools like Terraform, CloudFormation, Ansible, Jenkins
• Hands-on experience with IaC (Terraform/CloudFormation) • Familiarity with monitoring & alerting tools (ELK, NewRelic) • Configuration management (Ansible, Puppet, Chef, Rundeck) • Solid experience with AWS services (EC2, VPC, S3, Route 53, RDS, EKS, ECS, Lambda, and more) • Docker and container experience • Kubernetes or similar container orchestration tools • CI/CD pipelines (GitHub Actions, Jenkins, GitLab, etc.) • Strong Linux administration skills • Awareness of cloud security best practices
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