#vacancy #вакансия #remote #удаленно #openposition #jobopening #openvacancy #itcareer #itjob #работа #Middle #Senior #Net #dotnet #dot_net #Angular

**Full-stack Developer (.Net+Angular)
**
Level: Middle+, Senior
Location: Europe, Georgia
Employment: Full-time, Remote
Languages: English B2
Company: Timspark
Contact: @v_vpris

💻 Project Description:
The platform is a standalone system designed to provide centralized access and management capabilities for multiple applications, including SkySpark, through a unified interface. It aims to streamline workflows, improve data accessibility, and enhance the overall user experience by consolidating various functionalities into a single platform. This platform serves as the central hub for interacting with connected systems and managing related data.

✨Tech requirements:
- Frontend: Angular 19 ( strong Angular), TypeScript, Kendo UI
- Backend:.NET 8, ASP .NET MVC, ASP .NET Web API, C#
- Database: Azure SQL Database
- Infrastructure: Azure Cloud (App Services, Key Vault, Blob Storage, SignalR, Communication Services, Monitor)

#vacancy #вакансия #remote #удаленно #openposition #jobopening #openvacancy #itcareer #itjob #работа #Middle #Senior #ML #MLOps #AWS #CICD #CI_CD

Looking for MLOps Engineer 💫

Level: Middle+, Senior
Location: European Union countries
Employment: Full-time, Remote
Languages: English B2
Company: Timspark
Contact: @v_vpris


💻 Responsibilities:
• Architect and implement end-to-end MLOps pipelines using GitHub Actions and AWS AI/ML services.
• Automate infrastructure deployment with AWS CDK, ensuring scalability, repeatability, and security for AI workloads.
• Deploy, monitor, and optimize AI models on SageMaker endpoints using advanced deployment strategies (blue-green, canary, A/B testing).
• Set up model governance & versioning with SageMaker Model Registry, ensuring smooth rollouts and compliance.
• Monitor model performance & detect drift using SageMaker Model Monitor and observability tools.
• Build automated testing frameworks for ML models and CI/CD pipelines to catch issues before they hit production.
• Support edge AI deployments, including custom models like Whisper, optimizing performance for real-time scenarios.
• Integrate AWS AI services like Bedrock, A2I, and Ground Truth to enhance AI workflows.

🎯 Requirements:
- General experience more than 5 years. 3+ as an ML/AI Ops
- CI/CD workflows, AWS, Docker, Kubernetes (EKS)
- MPFlow и DPС - any experience

• Deep experience with AWS AI/ML services, especially SageMaker, Bedrock, and A2I.
• Strong software engineering background with Python and Infrastructure as Code using AWS CDK.
• Expertise in MLOps best practices, CI/CD automation (GitHub Actions), and containerized AI deployments.
• Solid background in Docker, Kubernetes (EKS), and AWS container orchestration (ECR, ECS, Lambda, Step Functions).
• Hands-on experience with SageMaker Model Monitor to track model drift and performance degradation.
• Familiarity with human-in-the-loop AI workflows using A2I and Ground Truth.
• Experience deploying ML models to edge devices (HUGE plus).

#vacancy #вакансия #remote #удаленно #openposition #jobopening #openvacancy #itcareer #itjob #работа #Middle #Senior #ML #MLOps #Azure #DevOps

**Looking for MLOps Engineer ✨
**
Level: Middle, Senior
Location: European Union countries
Employment: Full-time, Remote
Languages: English B2
Company: Timspark
Contact: @v_vpris

🎯 Requirements:

MLOps Experience:
• At least 1-2+ years of hands-on experience with MLOps, demonstrating proficiency in deploying and managing machine learning models in production environments.

PySpark & Libraries:
• Hands-on experience using PySpark and associated libraries for scalable and distributed data processing in the context of machine learning workflows.

Azure DevOps:
• Proven experience with Azure DevOps release pipelines, showcasing expertise in continuous integration, continuous deployment, and version control for machine learning projects.

Python:
• Proficiency in the Python programming language, with a focus on its application in machine learning development and deployment.

Machine Learning Expertise:
• Practical experience in machine learning, including a deep understanding of ML algorithms and feature engineering techniques.

MS SQL:
• Programming knowledge in MS SQL, demonstrating the ability to work with and manipulate data within relational databases.

Technology TAGS:
• Azure Machine Learning Service & Pipelines, Azure Pipelines, DevOps Azure, Python, PySpark, Azure Databricks, Azure Container Registry