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Artificialy Tech Stack

MLOps and AI infrastructure for production machine learning

IT Services and IT Consulting Lugano, Ticino 11–50 employees Founded 2020 Privately Held

Artificialy builds custom machine learning systems with a heavy focus on production operations and infrastructure. The tech stack—Python, PyTorch, TensorFlow, Kubernetes, MLflow, and multi-cloud (Azure, AWS, GCP)—paired with projects centered on MLOps pipelines, CI/CD automation, and deep learning deployment, reveals an organization solving the gap between model development and operational reliability. Hiring skews heavily toward senior engineering roles, indicating they're scaling implementation capacity rather than adding junior talent.

Tech Stack 47 technologies

Core StackPython AWS SageMaker Vertex AI Kubernetes scikit-learn PyTorch TensorFlow Jira Confluence GitLab Tableau GitHub Bitbucket Docker PostgreSQL MLflow FastAPI Flask C++ Java Azure GCP SQL Matplotlib Azure Machine Learning CI/CD ONNX TensorRT C/C+++15 more

What Artificialy Is Building

◆Challenges

Time to production
System reliability
Scalable infrastructure
Uncover business inefficiencies
Scalable mlops pipelines
Latency and cost optimization
Model performance monitoring
Reducing time-to-production
Ensuring high availability
Automating infrastructure provisioning

▲Active Projects

Ml operations pipelines
Ci/cd pipelines for ml workloads
Infrastructure automation
Mlops pipelines for deploying deep learning models
Automate deployment workflows of deep learning models
Optimize machine learning solutions for latency, throughput, and cost
Forecasting and predictive modeling
Anomaly and event detection
Automated decision-support systems
Scalable ai/ml infrastructure

Hiring Activity

Steady7 roles · 3 in 30d

Department

Engineering

5

Data

1

Ops

1

Seniority

Senior

5

Mid

2

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About Artificialy

Artificialy is a Switzerland-based AI consulting firm (founded 2020, 11–50 employees) that designs and deploys custom machine learning solutions for enterprise clients. The company pairs data science and machine learning expertise with infrastructure engineering, focusing on the operational challenges of getting models to production and keeping them reliable. Core work spans MLOps pipeline design, infrastructure automation, forecasting, anomaly detection, and decision-support system development. The team draws from academic partnerships and founder experience spanning 25 years in enterprise project delivery.

HeadquartersLugano, Ticino

Company Size11–50 employees

Founded2020

Hiring MarketsPeru, Switzerland

Frequently Asked Questions

What tech stack does Artificialy use?

Python, PyTorch, TensorFlow, scikit-learn, Azure, AWS, GCP, Kubernetes, Docker, MLflow, FastAPI, and SQL. They also use SageMaker and Vertex AI for managed ML services.

What is Artificialy working on?

MLOps pipelines, CI/CD automation for ML workloads, deep learning model deployment, infrastructure automation, forecasting, anomaly detection, and latency/cost optimization for machine learning systems.