AI Application Developer

1 day ago

Thāne, Maharashtra, India beBeeSoftwareEngineer Full time ₹ 1,57,50,000 - ₹ 2,02,50,000
Job Description
We are seeking a skilled software engineer to join our team in Mumbai Pune. As a Software Engineer, you will be responsible for developing and operating internal AI applications in close collaboration with our data science and Azure cloud infrastructure teams.
Your work will ensure that applications and endpoints are stable, secure, and scalable across our enterprise environment.
You will be one of the first members of a newly formed team and will actively contribute to establishing ways of working, development standards, and operational practices.
We work in small, agile teams that value ownership, speed, and collaboration.

Key Responsibilities
1. Transition data science proof-of-concept models into secure, scalable, production-ready solutions, and ensure their reliable operation.
2. Design, develop, and operate AI applications on Azure Cloud infrastructure.
3. Build and maintain CI/CD pipelines tailored for AI workloads, enabling seamless integration and continuous delivery.
4. Monitor AI application performance, availability, and security, and proactively resolve issues to ensure reliable operations.
5. Apply software engineering best practices to AI application development, including modular design, version control, and automated testing.
6. Establish and promote best practices for AI application lifecycle management, including deployment, rollback strategies, and observability.
7. Collaborate with cross-functional teams to align AI solutions with business requirements and operational goals.
8. Develop containerized microservices for AI applications using Docker and manage them via Azure Container Services.
9. Set up and manage AI application endpoints, ensuring secure access and efficient scaling.
10. Contribute to the continuous improvement of development and operations processes for AI applications.

Required Skills and Qualifications
- Strong proficiency in Python, including experience with common machine learning libraries such as PyTorch and scikit-learn.
- Solid understanding of the AI/ML lifecycle, including model deployment, monitoring, and scaling in production environments.
- Experience in designing, developing, and integrating APIs, especially for serving AI models and enabling internal tool integration.
- Hands-on experience with development on cloud infrastructure, ideally Azure.
- Familiarity with security best practices, performance monitoring, and troubleshooting in cloud-based environments.
- Strong grasp of version control, branching strategies, and release management.

Benefits
- Opportunity to work with talented professionals in a dynamic and collaborative environment.
- Professional growth and development opportunities.
- Flexible work arrangements and competitive compensation package.

Others
- We welcome applications from diverse backgrounds and experiences. All employment decisions at Siemens are based on qualifications, merit, and business need.

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