Machine Learning Platform Engineer @ ITDS
(práce v Polsku)

Machine Learning Platform Engineer @ ITDS

Polsko

Youre ideal for this role if you have:

• At least 5 years of experience in MLOps or ML platform engineering 
• Strong expertise with Azure and Azure Databricks (configuration, deployment, maintenance) 
• Advanced programming skills in Python and SQL; R is a plus 
• Deep understanding of the machine learning lifecycle (training, deployment, monitoring, and retiring models) 
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes) 
• Familiarity with MLFlow, Spark, REST APIs 
• Experience creating and maintaining CI/CD pipelines, preferably with Azure DevOps 
• Skills in Infrastructure as Code, especially Terraform 
• Excellent analytical, communication, and teamwork skills 

Nice to have:

• Experience with AI project implementations 
• Knowledge of cloud cost optimization techniques 
• Familiarity with monitoring tools such as Prometheus and Grafana 
• Understanding of security frameworks like ISO27001 and Identity & Access Management 
• Knowledge of enterprise architecture frameworks like TOGAF 
• Experience with additional ML lifecycle tools and frameworks 

Fully remote opportunity!

As a Machine Learning Platform Engineer, you will work with our client on building and enhancing a cutting-edge Analytical Platform using Azure Databricks. Your role will focus on designing scalable, secure, and cost-efficient infrastructure to support Data Science teams in developing, deploying, and monitoring machine learning models. You will be key in implementing best practices for MLOps, optimizing cloud resources, and ensuring smooth integration of ML solutions with business systems. 

We offer you:

ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes:

• Stable and long-term cooperation with very good conditions  
• Enhance your skills and develop your expertise in many different industries 
• Work on the most strategic projects available in the market 
• Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years 
• Participate in Social Events, training, and work in an international environment 
• Access to attractive Medical Package 
• Access to Multisport Program 
• Access to Pluralsight 
• Flexible hours & remote work 

,[Design, build, and maintain a secure, scalable ML platform on Azure Databricks , Develop and manage CI/CD pipelines for ML workflows to enable continuous integration and deployment , Implement real-time monitoring, anomaly detection, and version control for ML models , Collaborate closely with Data Science teams to automate ML pipelines, enforce best practices, and support production deployments , Optimize cloud infrastructure for performance and cost-efficiency , Troubleshoot pipeline issues and manage incidents effectively , Integrate ML solutions with enterprise systems and BPMN workflows in partnership with corporate architects , Define and enforce standards and best practices for platform usage and security compliance ] Requirements: Machine learning, Azure Databricks, MLOps, Cloud, Azure, Databricks, Continuous integration, Python, SQL, Docker, Kubernetes, REST API, CI/CD Pipelines, Terraform, R, Azure DevOps, Infrastructure as Code, AI, Prometheus, Grafana, Enterprise Architect, TOGAF Additionally: Sport Subscription, International environment, Remote work, Long-term cooperation, Flexible working hours, Pluralsight.

Kategorie

artificialIntelligence

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