Cloud Developer (Azure AI Foundry) working on AI integration and cloud solutions. Responsible for MLOps practices and collaborating with data teams for performance monitoring.
Responsibilities
Responsible for maintaining, evolving, and integrating solutions on the Azure AI Foundry platform, with a focus on artificial intelligence, machine learning, and cloud process automation.
Ensure scalability, security, and performance of solutions, and collaborate with data, engineering, and product teams to accelerate AI adoption across the organization.
Develop, configure, and maintain data pipelines and AI models within Azure AI Foundry.
Automate MLOps processes and ensure best practices for versioning, monitoring, and reproducibility.
Integrate Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and others.
Ensure security, compliance, and governance of cloud resources.
Work closely with data scientists, data engineers, and solution architects.
Participate in defining the architecture of AI-based solutions.
Monitor and optimize the performance of cloud workloads.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a related field.
Experience with Azure AI Foundry and related Azure services.
Experience with monitoring and logging cloud applications.
Azure certifications are a plus (e.g., Azure AI Engineer Associate, Azure Solutions Architect).
Knowledge of MLOps, CI/CD, and Infrastructure as Code (IaC) — preferably with Terraform or Bicep.
Proficiency in languages such as Python and SQL, and version control tools (Git).
Familiarity with containers (Docker, Kubernetes) and distributed environments.
Head of Growth Social & AI leading the commercial launch of a new AI - powered social media offering. Focusing on client acquisition and market positioning in Europe.
Performance Architect Intern optimizing major layers and kernels for NVIDIA architectures. Collaborating with teams on in - depth performance analysis and resource optimization.
Staff AI Solutions Delivery Lead at Northrop Grumman focusing on AI adoption and delivery coordination. Engage with internal stakeholders to bridge business needs and emerging AI capabilities.
PhD role developing AI frameworks for automotive product innovations at MAHLE. Involves integration of multi - source data and collaboration with industry partners.
PhD candidate in AI for product innovations at MAHLE in Stuttgart, focusing on multi - source data integration and development of scalable AI frameworks. Collaborating with industry partners for automotive applications.
Analyst position focused on designing and deploying AI solutions within AES Corporation's Clean Energy sector. Collaborating on strategic AI/ML projects and stakeholder engagement.
AI Development Intern at JLL assisting projects in technology infrastructure and real estate technology. Enhancing user experience and collaborating on data accuracy and documentation.
AI Product Intern collaborating with engineers and researchers to design and deploy AI - powered software solutions. Contributing to impactful projects in various sectors such as government and healthcare.
Associate Consultant in Tech Consulting focusing on AI and Data solutions for clients. Driving long - term value through tailored technology and innovation in a collaborative environment.