AI Engineer (Remote)

Czym będziesz się zajmować?

Key Responsibilities :

• Develop and implement AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Work withnbsp; Azure Machine Learning (AML) nbsp;for training, deploying, and managing AI models.
• Perform data preprocessing, data engineering, and feature engineering for AI / ML pipelines, using tools likenbsp; Databricks .
• Build and maintainnbsp; CI / CD pipelines for ML models nbsp;following MLOps best practices withnbsp; Azure DevOps .
• Containerize AI applications usingnbsp; Docker , orchestrated bynbsp; Kubernetes nbsp;ornbsp; Azure Kubernetes Service (AKS) .
• Develop AI solutions usingnbsp; Python nbsp;for model development, automation, and integration.
• Monitor and log model performance using tools such asnbsp; Azure Monitor ,nbsp; Application Insights , andnbsp; ML model metrics nbsp;

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 usingnbsp; Azure Machine Learning (AML) nbsp;for end-to-end AI model lifecycle management.
• Hands-on experience withnbsp; data preprocessing ,nbsp; data engineering , andnbsp; feature engineering nbsp;using platforms like Databricks.
• Solid understanding ofnbsp; CI / CD pipelines nbsp;for machine learning models usingnbsp; Azure DevOps nbsp;and adherence tonbsp; MLOps practices .
• Proficiency innbsp; containerization technologies nbsp;such as Docker, and experience with Kubernetes (AKS is a plus).
• Strong knowledge ofnbsp; Python nbsp;for AI model development, scripting, and process automation.
• Experience innbsp; monitoring AI models nbsp;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 withnbsp; AI applications , such asnbsp; Retrieval-Augmented Generation (RAG) , is a plus.

Czego wymagamy?

4 lata doświadczenia na podobnym stanowisku

Znajomości :

• TensorFlow
• TensorFlow
• PyTorch
• Azure Machine Learning
• CI / CD
• Python
• Azure DevOps
• Docker Języki :
• Polski
• Polski
• Angielski

Jakie warunki i benefity otrzymasz?

• 33600-40300 PLN miesięcznie
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna : W całości
• Budżet szkoleniowy, Szkolenia wewnętrzne, Wyjazdy na konferencje
• Pakiet medyczny, Pakiet sportowy

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.