
Freelance - Python Developer
2 days ago
Experience Level: 4-6 Years
Location: Remote (India-based candidates preferred)
Engagement Model: Contractual Assignment
About the Role
We are seeking a highly skilled Python Developer with 46 years of experience to join our team on a contractual basis. This role requires someone who is not just proficient in backend development but also brings in solid experience working on AI-first products, handling complex systems integrations, and managing the DevOps lifecycle including CI/CD. This is a hands-on development role in a fast-paced, agile environment where the ability to collaborate, problem-solve, and deliver high-quality code is critical.
Key Responsibilities
- Design, develop, and maintain scalable Python-based backend services.
- Build and maintain complex integrations with third-party APIs, internal services, and AI/ML models.
- Collaborate with data scientists and AI engineers to integrate machine learning models into production.
- Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI.
- Ensure system scalability, reliability, and security through DevOps best practices.
- Work with containerization tools (Docker, Kubernetes) to manage microservices.
- Write clean, maintainable, and testable code following industry best practices.
- Participate in sprint planning, code reviews, and architecture discussions.
Required Skills
- Strong hands-on experience in Python (Flask, FastAPI, or Django frameworks).
- Proven experience in working on AI-first product environments (e.g., AI model APIs, LLM integration, etc.).
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Experience in managing CI/CD pipelines and infrastructure automation.
- Good understanding of DevOps tools: Docker, Kubernetes, Terraform (preferred).
- Excellent problem-solving skills and an analytical mindset.
- Experience in working with REST APIs, Webhooks, and asynchronous workflows.
- Exposure to version control systems like Git and collaborative tools like Jira, Confluence, etc.
Good to Have
- Experience working in startup or product-first environments.
- Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Understanding of MLOps and deployment of ML models in production.
Engagement Model
- Type: Contractual
- Trial Period: 1 week (paid trial to assess fit, code quality, and collaboration skills)
- Duration: 3 months
- Extension: Possible based on performance, commitment, and project pipeline
- Work Hours: Flexible, with overlap during core team hours as needed
- Start Date: Immediate
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