Python Developer - 7+ Years - Hybrid - Bangalore

7 - 12 years

5 - 15 Lacs

Posted:5 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Notice Period-Immediate Joiner or Max 10 days(Do not share long notice period profile.)

Permanent Payroll - Anlage Infotech

Client - NTT DATA

Location- Bangalore - Hybrid - 1/2 days in a week.

Role & responsibilities

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)

JD -

Senior Software Developer Python POSITION GENERAL DUTIES AND TASKS : 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 e?icient 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: ? Bachelors or Masters 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).

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