Senior Software Engineer - AI Application Development and Operations

As a Senior Software Engineer specializing in AI Application Development and Operations at Siemens Energy in Mumbai/Pune, you will play a pivotal role in developing and maintaining internal AI applications within a collaborative environment. You will work closely with the data science and Azure cloud infrastructure teams to ensure the stability, security, and scalability of applications across the enterprise. Joining a newly formed team, you will actively contribute to establishing best practices, development standards, and operational procedures. Working in agile teams, emphasis will be placed on ownership, speed, and collaboration to deliver high-impact, production-ready AI solutions on Azure infrastructure. Key Responsibilities: - Transition data science models into production-ready solutions - Design, develop, and operate AI applications on Azure Cloud - Build CI/CD pipelines for seamless integration - Monitor application performance and security - Apply software engineering best practices to AI development Qualifications Required: - Degree in Computer Science or related technical field - Proven experience in software engineering - Proficiency in Python with experience in machine learning libraries - Understanding of AI/ML lifecycle - Experience with cloud infrastructure - Strong problem-solving skills Siemens offers a dynamic work environment where you will have the opportunity to contribute to projects that impact entire cities and countries. As part of a global team dedicated to equality, Siemens welcomes applications that reflect diverse communities. Employment decisions are based on qualifications, merit, and business needs. Bring your curiosity and imagination to help shape the future with Siemens. As a Senior Software Engineer specializing in AI Application Development and Operations at Siemens Energy in Mumbai/Pune, you will play a pivotal role in developing and maintaining internal AI applications within a collaborative environment. You will work closely with the data science and Azure cloud infrastructure teams to ensure the stability, security, and scalability of applications across the enterprise. Joining a newly formed team, you will actively contribute to establishing best practices, development standards, and operational procedures. Working in agile teams, emphasis will be placed on ownership, speed, and collaboration to deliver high-impact, production-ready AI solutions on Azure infrastructure. Key Responsibilities: - Transition data science models into production-ready solutions - Design, develop, and operate AI applications on Azure Cloud - Build CI/CD pipelines for seamless integration - Monitor application performance and security - Apply software engineering best practices to AI development Qualifications Required: - Degree in Computer Science or related technical field - Proven experience in software engineering - Proficiency in Python with experience in machine learning libraries - Understanding of AI/ML lifecycle - Experience with cloud infrastructure - Strong problem-solving skills Siemens offers a dynamic work environment where you will have the opportunity to contribute to projects that impact entire cities and countries. As part of a global team dedicated to equality, Siemens welcomes applications that reflect diverse communities. Employment decisions are based on qualifications, merit, and business needs. Bring your curiosity and imagination to help shape the future with Siemens.