AI Engineer (Remote)

33600-40300 PLN miesięcznie (B2B)

System Verification Poland

Czym będziesz się zajmować?

Key Responsibilities:
  • Develop and implement AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Work with Azure Machine Learning (AML) for training, deploying, and managing AI models.
  • Perform data preprocessing, data engineering, and feature engineering for AI/ML pipelines, using tools like Databricks.
  • Build and maintain CI/CD pipelines for ML models following MLOps best practices with Azure DevOps.
  • Containerize AI applications using Docker, orchestrated by Kubernetes or Azure Kubernetes Service (AKS).
  • Develop AI solutions using Python for model development, automation, and integration.
  • Monitor and log model performance using tools such as Azure Monitor, Application Insights, and ML model metrics to ensure model accuracy and reliability.
  • Collaborate with cross-functional teams to communicate insights and results, and integrate AI models into business workflows.
  • Apply statistical reasoning and analytical skills to interpret data and improve model outcomes.

Kogo poszukujemy?

Required Qualifications:
  • Proven experience with AI and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in using Azure Machine Learning (AML) for end-to-end AI model lifecycle management.
  • Hands-on experience with data preprocessing, data engineering, and feature engineering using platforms like Databricks.
  • Solid understanding of CI/CD pipelines for machine learning models using Azure DevOps and adherence to MLOps practices.
  • Proficiency in containerization technologies such as Docker, and experience with Kubernetes (AKS is a plus).
  • Strong knowledge of Python for AI model development, scripting, and process automation.
  • Experience in monitoring AI models and logging key metrics with tools like Azure Monitor and Application Insights.
  • Ability to work collaboratively and communicate AI results to both technical and non-technical stakeholders.
  • Previous experience with AI applications, such as Retrieval-Augmented Generation (RAG), is a plus.

Czego wymagamy?

Znajomości:
Języki:
  • Polski
  • Angielski

Jakie warunki i benefity otrzymasz?

  • 200-240 PLN godzinowo (B2B)
  • B2B - Elastyczne godziny pracy (100%)
  • Praca zdalna: W całości
  • Budżet szkoleniowy, Szkolenia wewnętrzne, Wyjazdy na konferencje
  • Pakiet medyczny, Pakiet sportowy

Gdzie będziesz pracował?

Zdalnie

Kim jesteśmy?

System Verification is a global software quality assurance company specialized in advanced quality monitoring and analytics. By using best practice QA methods and AI insights, we help our clients deliver great end-user experiences. Discover our recognized QA expertise and get a strategic partner that focus on innovation, efficiency and security.