Posted:1 week ago|
Platform:
On-site
Contractual
Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
· Job Title: Python Developer
· Location: Bangalore
· Experience: 5+ yrs
· Job Type : Contract to hire.
· Notice Period:- Immediate joiners.
POSITION OVERVIEW : 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: ? 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).
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