Python Developer

Mandate - Python + GenAI +CI/CD pipelines

Work location - Gold Hill Excelsior Park, South Tower, First Main Road, Electronic City Phase II( Bangalore Client office Siemens

Exp - 7+ years

Hybrid (3 days a week to office)

About the Role:

We are looking for a talented Senior Software Developer with strong Python skills. You will join our AI

Solutions team. We focus on creating advanced AI systems in the Electrification field. In this role,

you will work with AI/ML engineers, data scientists, and cloud architects. Together, you will develop

robust, scalable software solutions using the latest AI technologies. This is a great chance to work

where AI innovation meets high-performance backend systems and cloud-native development.

Responsibilities:

1. Write high-quality, testable, and maintainable Python code using object-oriented programming

(OOP), SOLID principles, and design patterns.

2. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI.

3. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and

Generative AI models into production environments.

4. Contribute to software architecture and design discussions to ensure scalable and eicient

solutions.

5. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable

deployments.

6. Design for observability, incorporating structured logging, performance monitoring, and alerting

mechanisms.

7. Optimize code and system performance, ensuring reliability and robustness at scale.

8. Participate in code reviews, promote clean code practices, and mentor junior developers when

needed.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.

• 5+ years of hands-on experience in software development, with a focus on Python.

• Deep understanding of OOP concepts, software architecture, and design patterns.

• Experience with backend web frameworks, preferably FastAPI.

• Familiarity with integrating ML/DL models into software solutions.

• Practical experience with CI/CD, containerization (Docker), and version control systems (Git).

• Exposure to MLOps practices and tools for model deployment and monitoring.

• Strong collaboration and communication skills in cross-functional engineering teams.

• Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio,

OpenAI Service).

Preferred Qualifications:

• Experience in Rust is a strong plus.

• Experience working on high-performance, scalable backend systems.

• Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or OpenTelemetry.

• Understanding of data engineering concepts, ETL pipelines, and processing large datasets.

• Background or interest in the Power and Energy domain is a plus.