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Senior Software Engineer - AI Application Development and Operations
Siemens
Develop and operate AI applications on Azure, transitioning models to production
5d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Thane, Maharashtra, India
Office Full-Time
Company Size
303,000 Employees
Service Specialisms
Industry Automation
Power Transmission
Imaging & Therapy Systems
Diagnostics
Rail Systems
Mobility & Logistics
Low & Medium Voltage
Smart Grid
Sector Specialisms
Industrial Automation
Building Automation
Rail Transport
Health Technology
Factory Automation
Process Industries
Pharmaceuticals
Chemicals
Role
What you would be doing
ai development
ci/cd pipelines
docker containers
azure cloud
endpoint management
performance monitoring
- Apply software engineering best practices to AI application development, including modular design, version control, and automated testing.
- Set up and manage AI application endpoints, ensuring secure access and efficient scaling.
- Establish and promote best practices for AI application lifecycle management, including deployment, rollback strategies, and observability.
- Build and maintain CI/CD pipelines tailored for AI workloads, enabling seamless integration and continuous delivery.
- Contribute to the continuous improvement of development and operations processes for AI applications.
- Monitor AI application performance, availability, and security, and proactively resolve issues to ensure reliable operations.
- Develop containerized microservices for AI applications using Docker and manage them via Azure Container Services.
- Design, develop, and operate AI applications on Azure Cloud infrastructure.
- Collaborate with cross-functional teams to align AI solutions with business requirements and operational goals.
- Transition data science proof-of-concept models into secure, scalable, production-ready solutions, and ensure their reliable operation.
What you bring
python
azure
apis
version control
computer science
communication
- Strong communication and interpersonal skills, with the ability to collaborate effectively in small, agile teams and contribute to a positive and productive team culture.
- Solid understanding of the AI/ML lifecycle, including model deployment, monitoring, and scaling in production environments.
- Hands-on experience with development on cloud infrastructure, ideally Azure.
- Experience in designing, developing, and integrating APIs, especially for serving AI models and enabling internal tool integration.
- Strong grasp of version control, branching strategies, and release management.
- Proven experience in software engineering with a focus on application design, development, and operations.
- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
- Bonus 2: Prior experience with LLM frameworks like LangChain or LlamaIndex.
- Strong proficiency in Python, including experience with common machine learning libraries such as PyTorch, and scikit-learn.
- Familiarity with security best practices, performance monitoring, and troubleshooting in cloud-based environments.
- 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.
Information not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
Founded in 1847
Historical Milestone
Established as a small telegraph company and transformed into a global leader in technology.
- The company drives progress with solutions in electrification, automation, and digitalization across industries.
- With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure.
- Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility.
- Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles.
- It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors.
- Transforming how industries use digital technology to optimize operations and tackle global challenges.
- Leading change is a team effort
- Our people are enthusiasts with diverse backgrounds, skills and interests
- Every individual is valued
- Ownership – empowering employees to take responsibility
- Collaboration – leveraging unique strengths to find creative solutions
- Respect & Inclusion – diverse, respectful, flat hierarchies, flexibility, celebrating individual contributions
90% reduction
Scope 1 & 2 emissions by 2030
Achieve a 90% reduction in own-operations greenhouse gas emissions compared to 2019 levels by 2030.
144 million tonnes
CO₂-equivalent avoided in FY 2024
Products sold in FY 2024 helped customers avoid approximately 144 million tonnes of CO₂-equivalent emissions.
100% renewable
Electricity by 2030
Transition to 100% renewable electricity across operations by 2030, aligned with the RE100 initiative.
90% reduction
Scope 3 emissions by 2050
Achieve a 90% reduction in value-chain (Scope 3) emissions by 2050, validated by the Science-Based Targets initiative.
- Achieve net‑zero greenhouse‑gas emissions across the value chain by 2050
- Own‑operations net‑zero by 2030
- Value‑chain (Scope 3) target: 30% reduction by 2030
- €650 million invested in decarbonization efforts by 2030
- 100% EV fleet (EV100) by 2030
- 100% net‑zero buildings (EP100) by 2030
- Scope 1 & 2 emissions reduced by 50% since 2019, Scope 3 by 15% since 2019
- Products sold in FY 2024 helped customers avoid ~144 million tonnes CO₂‑equivalent
- Eco‑design standard achievement: 54%; 25,000 Siemens products labeled “EcoTech” for sustainable design
- Landfill waste down ~12%; recycling share of total waste 84%
Women at 32%
Top Management Increase
Women in top management roles increased significantly from a baseline of 23% in FY 2020 to 32% in FY 2024.
- DEGREE strategic framework includes 'Equity' as a measurable field of action
- Global Equity program focuses on equal rights in hiring and internal promotion processes
- SBTi‑validated targets exclude DEI but inclusion embedded in governance and career development
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