Experienced Full Stack Software Engineer – AI Platform Development with Cloud Services, Machine Learning, and DevOps

Join the AI Revolution at Microsoft: Empowering Innovation and Excellence Be part of a team that's making a tangible difference in the world of Artificial Intelligence! Microsoft's AI Platform organization is seeking an experienced Full Stack Software Engineer to join our team in building the end-to-end Azure AI stack/PaaS, driving innovation and differentiation across Azure and Microsoft's flagship products. As a Software Engineer in this team, you will have the opportunity to work on cutting-edge projects, collaborate with talented professionals, and take your career to the next level. About Microsoft and Our Culture Microsoft is a company where passionate innovators come together to collaborate, envision what can be, and take their careers further. We are a world of more possibilities, more innovation, more openness, and limitless thinking in a cloud-enabled world. Our culture values diversity, inclusion, and empowerment, providing a dynamic and supportive environment for our employees to grow and thrive. The AI Platform Organization: Empowering Developers and Data Scientists The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS, which is core to Azure's innovation and differentiation, as well as all of Microsoft's flagship products, from Office to Teams, to Xbox. Within AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. Key Responsibilities: Collaborate with Data Scientists and Researchers: Work directly with data scientists and researchers to deliver high-quality machine learning models, ensuring seamless integration with existing systems. Distributed Machine Learning Systems: Collaborate with other engineers to build and maintain distributed machine learning systems, leveraging cloud services and containerization technologies. Monitoring, Troubleshooting, and Diagnosing: Demonstrate keen attention to detail and data interpretation skills to effectively monitor, troubleshoot, and diagnose issues in live site systems. Mentorship and Architectural Decisions: Mentor junior engineers and actively contribute to architectural decisions, ensuring the development of scalable, efficient, and reliable systems. Cloud Services and DevOps: Work with cloud services, such as Azure, and apply DevOps practices, including CI/CD pipelines, to ensure smooth deployment and operation of AI systems. Deep Learning and Neural Networks: Collaborate with experts in deep learning and neural networks to develop and deploy AI models, leveraging frameworks like PyTorch, TensorFlow, and ONNX. Essential Qualifications: Bachelor's Degree: Bachelor's Degree in Computer Science or a related technical field. Technical Experience: 2+ years of technical engineering experience with coding in languages, including but not limited to C, C++, C#, Java, JavaScript, or Python. Cloud Services: Exposure to cloud services, such as Azure, AWS, or Google Cloud. Preferred Qualifications: Advanced Degree: Master's Degree in Computer Science or a related technical field. Technical Experience: 4+ years of technical engineering experience with coding in languages, including but not limited to C, C++, C#, Java, JavaScript, or Python. Cloud Services: 1+ year of technical engineering experience with cloud services. Deep Learning: Exposure to deep neural network training and inference, with experience in one or more deep learning frameworks (PyTorch, TensorFlow, ONNX, etc.). Containerization and Orchestration: Knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes). DevOps Practices: Basic understanding of DevOps practices and CI/CD pipelines. What We Offer: Competitive Salary: A competitive salary for this role, reflecting your skills and experience. Comprehensive Benefits: Comprehensive benefits, including health insurance, retirement plans, and paid time off. Career Growth Opportunities: Opportunities for career growth and professional development, including mentorship and training programs. Collaborative Culture: A dynamic and supportive work environment, fostering collaboration, innovation, and inclusion. Flexible Work Arrangements: Flexible work arrangements, including remote work options. Why Join Us? As a member of our team, you will have the opportunity to work on cutting-edge AI projects, collaborate with talented professionals, and contribute to the development of innovative solutions that make a tangible difference in the world. We offer a dynamic and supportive work environment, comprehensive benefits, and opportunities for career growth and professional development. How to Apply: If you are passionate about AI, machine learning, and cloud services, and you believe you have what it takes to join our team, submit your application without delay. We are keen to hear from talented candidates like you. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances. Apply for this job