We are a dynamic team focused on building scalable and secure machine learning solutions in cloud environments. Our projects involve designing and deploying end-to-end MLOps pipelines, containerized workloads, and automated CI/CD processes using Azure services. We leverage cutting-edge technologies such as Azure ML, Kubernetes, Docker, MLflow, and Terraform to deliver robust, production-ready AI solutions.
responsibilities :
Design and implement end-to-end MLOps pipelines in Azure using services like Azure ML, AKS, ACR, and Azure Data Lake.
Containerize and orchestrate machine learning workloads using Docker and Kubernetes for scalable, fault-tolerant deployment.
Automate training, validation, and deployment of models through CI/CD pipelines integrated with Git and workflow orchestration tools (Airflow, MLflow, Kubeflow).
Manage model versioning, lineage, and registry using Azure ML Model Registry or equivalent.
Implement monitoring and alerting for model drift, data quality, and inference performance.
Ensure infrastructure as code (IaC) using tools like Terraform, Bicep, or ARM templates.
Apply security and compliance best practices across model storage, API endpoints, and data access.
Proficiency in Python 3+ years of experience in developing ML pipelines and integrating with frameworks (PyTorch, TensorFlow).
Hands-on experience with Azure services including Azure ML, AKS, and Azure DevOps for end-to-end MLOps workflows.
Strong knowledge of containerization and orchestration using Docker and Kubernetes for scalable, fault-tolerant deployments.
Familiarity with MLOps practices including MLflow for experiment tracking, model registry, and artifact management.
Experience with Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates for automated and secure cloud environments.
Analytical Thinking: Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.
Problem-Solving Skills: Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.
Effective Communication: Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.
Attention to Detail: Meticulous in data validation, report generation, and ensuring data quality across BI platforms.
Team Collaboration: Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.
Adaptability and Continuous Learning: Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.
offered :
Knowledge Sharing: Collaborate with top industry professionals, exchange innovative ideas, and make your voice heard. Your insights matter here
Development Budget: Invest in your growth with us. Choose the conferences, training sessions, or certifications that best suit your career path
Hardware of Your Choice: Work with the best tools. Choose the equipment that helps you perform at your peak
Flexible Hours: Whether you’re an early bird or a night owl, we offer flexible hours to fit your lifestyle and maximize your productivity
Remote Work: Enjoy the freedom to work from home or any location that suits you, while maintaining a healthy work-life balance
Leader’s Support: Our leaders are here to support you. Just ask for guidance or feedback whenever you need it
Project Bonuses: Celebrate your successes with us. Receive bonuses for outstanding project achievements
Social Events: Join in the fun! Participate in various social events and sports activities with your colleagues
Health Insurance: Your well-being is our priority. Benefit from comprehensive health insurance coverage
Comfy Office in a Great Locations: Work in a comfortable, ergonomic office located in the heart of the city, designed to inspire creativity and collaboration
Relaxed Atmosphere: Experience a flat organizational structure with no dress code. Join a team of talented, down-to-earth professionals
Up to 6000 PLN for Employee Recommendations: Help us grow our team and earn up to 6000 PLN for successful employee referrals
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
