Python developer
1 month ago
Key Responsibilities: AI Integration: Develop, integrate, and deploy AI/ML models into production environments.
Backend Development: Build, optimize, and maintain APIs and backend systems using Python.
CI/CD Implementation: Design and maintain CI/CD pipelines to ensure fast and reliable deployments.
Dev Ops Practices: Collaborate on infrastructure setup, monitoring, and automation using Dev Ops tools and methodologies.
Version Control: Manage code repositories with Git, ensuring proper branching and collaboration strategies.
Cloud Deployment: Deploy and maintain applications on cloud platforms like AWS, Azure, or GCP.
System Optimization: Enhance performance, scalability, and reliability for deployed applications.
Cross-functional collaboration: Work with data scientists, engineers, and product managers to deliver seamless solutions.
Requirements: Proficiency in Python with 3+ years of professional experience.
AI/ML Expertise: Experience with frameworks like Tensor Flow, Py Torch, or Scikit-learn.
CI/CD Skills: Experience building and managing CI/CD pipelines using tools like Jenkins, Git Hub Actions, or Git Lab CI.
Cloud Experience: Hands-on experience deploying applications on cloud platforms (AWS, GCP, Azure).
Version Control: Proficiency in Git, including branching, pull requests, and resolving merge conflicts.
Dev Ops Tools: Familiarity with containerization (Docker) and orchestration (Kubernetes).
Database Knowledge: Experience with SQL/No SQL databases such as Postgre SQL, My SQL, or Mongo DB.
Principles-Oriented: Strong understanding of OOP, design patterns, and software development best practices.
Problem-Solving Skills: Ability to analyze and address technical challenges independently.
Testing and Monitoring: Experience with automated testing and monitoring tools for maintaining system health.
Requirements: Proficiency in Python with 3+ years of professional experience.
AI/ML Expertise: Experience with frameworks like Tensor Flow, Py Torch, or Scikit-learn.
CI/CD Skills: Experience building and managing CI/CD pipelines using tools like Jenkins, Git Hub Actions, or Git Lab CI.
Cloud Experience: Hands-on experience deploying applications on cloud platforms (AWS, GCP, Azure).
Version Control: Proficiency in Git, including branching, pull requests, and resolving merge conflicts.
Dev Ops Tools: Familiarity with containerization (Docker) and orchestration (Kubernetes).
Database Knowledge: Experience with SQL/No SQL databases such as Postgre SQL, My SQL, or Mongo DB.
Principles-Oriented: Strong understanding of OOP, design patterns, and software development best practices.
Problem-Solving Skills: Ability to analyze and address technical challenges independently.
Testing and Monitoring: Experience with automated testing and monitoring tools for maintaining system health.
Perks & Benefits: Fully remote work with flexible hours.
Competitive salary and performance-based bonuses.
Opportunities to work on innovative AI-driven projects.
Professional development and learning support.
Collaborative, inclusive, and growth-oriented work environment.
How to Apply: To apply, please submit your resume, portfolio, and a brief cover letter detailing your experience with Python, AI, and deployment practices.
For quick joiners: Feel free to reach out directly via Whats App at +91-8090739313. We’re excited to connect with you and explore the opportunity to collaborate
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