RESUME AND JOB
Siemens
Key Responsibilities:
· Transition data science proof-of-concept models into secure, scalable, production-ready solutions, and ensure their reliable operation.
· Design, develop, and operate AI applications on Azure Cloud infrastructure.
· Build and maintain CI/CD pipelines tailored for AI workloads, enabling seamless integration and continuous delivery.
· Monitor AI application performance, availability, and security, and proactively resolve issues to ensure reliable operations.
· Apply software engineering best practices to AI application development, including modular design, version control, and automated testing.
· Establish and promote best practices for AI application lifecycle management, including deployment, rollback strategies, and observability.
· Collaborate with cross-functional teams to align AI solutions with business requirements and operational goals.
· Develop containerized microservices for AI applications using Docker and manage them via Azure Container Services.
· Set up and manage AI application endpoints, ensuring secure access and efficient scaling.
· Contribute to the continuous improvement of development and operations processes for AI applications.
We don't need superheroes, just super minds.
Strong communication and interpersonal skills, with the ability to collaborate effectively in small, agile teams and contribute to a positive and productive team culture.
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
Strong architecture-level experience (around 8+ years of relevant industry experience)
Proven experience in software engineering with a focus on application design, development, and operations.
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.
Excellent problem-solving skills and the ability to work both independently and collaboratively in cross-functional, international teams.
Bonus 1: Some experience with frontend development.
Bonus 2: Prior experience with LLM frameworks like LangChain or LlamaIndex.
We have got quite a lot to offer. How about you?
This role is based in Mumbai/Pune, where youll get the chance to work with teams impacting entire cities, countries and the shape of things to come.
85,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
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© 2026 Pointers. All rights reserved.

Siemens
Key Responsibilities:
· Transition data science proof-of-concept models into secure, scalable, production-ready solutions, and ensure their reliable operation.
· Design, develop, and operate AI applications on Azure Cloud infrastructure.
· Build and maintain CI/CD pipelines tailored for AI workloads, enabling seamless integration and continuous delivery.
· Monitor AI application performance, availability, and security, and proactively resolve issues to ensure reliable operations.
· Apply software engineering best practices to AI application development, including modular design, version control, and automated testing.
· Establish and promote best practices for AI application lifecycle management, including deployment, rollback strategies, and observability.
· Collaborate with cross-functional teams to align AI solutions with business requirements and operational goals.
· Develop containerized microservices for AI applications using Docker and manage them via Azure Container Services.
· Set up and manage AI application endpoints, ensuring secure access and efficient scaling.
· Contribute to the continuous improvement of development and operations processes for AI applications.
We don't need superheroes, just super minds.
Strong communication and interpersonal skills, with the ability to collaborate effectively in small, agile teams and contribute to a positive and productive team culture.
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
Strong architecture-level experience (around 8+ years of relevant industry experience)
Proven experience in software engineering with a focus on application design, development, and operations.
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.
Excellent problem-solving skills and the ability to work both independently and collaboratively in cross-functional, international teams.
Bonus 1: Some experience with frontend development.
Bonus 2: Prior experience with LLM frameworks like LangChain or LlamaIndex.
We have got quite a lot to offer. How about you?
This role is based in Mumbai/Pune, where youll get the chance to work with teams impacting entire cities, countries and the shape of things to come.
85,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Senior Software Engineer - AI Application Development and Operations. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.
Answer 10 quick questions to check your fit for Senior Software Engineer - AI Application Development and Operations @ Siemens.

No related jobs found at the moment.

© 2026 Pointers. All rights reserved.