Python AI Developer
16 hours ago
Dear Applicant,
PFB the Job Description for Python AI Developer position:
- Develop and maintain Python applications to address operational business needs.
- Work on production-grade systems, ensuring scalability, performance, and reliability.
- Collaborate closely with the AI team to integrate machine learning models and AI-based features into the backend.
- Write clean, efficient Python code, following best practices (PEP 8) and design patterns.
- Utilize frameworks like Django, Flask, or FastAPI for web applications and API development.
- Develop and maintain RESTful APIs for seamless integration with front-end systems and third-party services.
- Participate in code reviews and contribute to high-quality software.
- Unit testing with frameworks such as PyTest to ensure quality and reduce defects.
- Troubleshoot and resolve application issues, providing timely fixes and optimizations.
- Optimize for speed and scalability of applications to handle high traffic.
- Collaborate with cross-functional teams (Front-end, DevOps, QA) to ensure a smooth development cycle.
- Document code, processes, and best practices for knowledge sharing and onboarding.
- Stay current with Python trends and technologies, continually improving technical skills.
Technical Skills Required:
- Python: Strong hands-on experience with Python (3.x), object-oriented programming (OOP), and design patterns.
- Web Frameworks: Expertise in Django, Flask, or FastAPI.
- Databases: Proficient in working with SQL (PostgreSQL, MySQL)
- API Development: Deep understanding of building RESTful APIs and integrating with external services.
- Version Control: Proficient in Git and Git workflows.
- Unit Testing: Experience writing tests with PyTest, Unit test, or similar frameworks.
- Cloud Services: Experience with AWS is a must.
- Containerization: Familiarity with Docker and Kubernetes.
- CI/CD: Experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or CircleCI.
- Message Brokers: Exposure to RabbitMQ, Kafka, or Celery for background task processing.
- Security Best Practices: Knowledge of securing APIs, encryption, and ensuring data privacy.
Exposure to AI/ML and Data Science (Preferred):
- Familiar with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Data manipulation skills using Pandas, NumPy, and Matplotlib.
- Exposure to data pipelines, integrating Python with AI/ML models.
- Experience in model deployment and serving machine learning models via APIs.
- Understanding of statistical analysis, data modeling, and analytics techniques.
Soft Skills:
- Strong communication skillsable to collaborate with team members and stakeholders.
- Problem-solving mindset with a focus on efficient and scalable solutions.
- Ability to take ownership of projects and drive them to completion.
- Familiarity with Agile methodologies for iterative development and team collaboration.
- Eagerness to learn new technologies and share knowledge with the team.
Preferred Skills:
- DevOps: Exposure to tools like Jenkins, Terraform, or Ansible.
- Microservices: Experience building or working with microservices architectures.
- Frontend Knowledge: Basic understanding of React, , or Angular (optional).
- Experience with data science or machine learning applications is a big plus.
Qualifications:
- Bachelors degree in Computer Science or IT, or a related field (or equivalent experience).
- 4-6 years of professional Python development experience.
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