Python Web API Developer with ML

Role

Required Technical Skill Set

Desired Experience Range

Location of Requirement:

Desired Competencies (Technical/Behavioral Competency)

Must-Have

· Solid understanding of object-oriented programming (OOP) and design patterns for building robust and maintainable applications.

· Practical experience with Flask and Django for web application development and maintenance.

· Knowledge of relational (MySQL, PostgreSQL) and non-relational databases (MongoDB, Cassandra, and Redis) databases with expertise in database design, query optimization, and ORM tools like SQLAlchemy or Django ORM.

· Proficiency in RESTful or GraphQL for API development.

· Knowledge of data processing libraries like Pandas and NumPy and experience with machine learning frameworks like TensorFlow, scikit-learn, or PyTorch.

· Ability to integrate multiple data sources into a single system.

· Familiarity with front-end technologies (e.g., HTML, CSS, and JavaScript) for efficient collaboration with front-end software engineers.

· Hands-on experience with testing frameworks, such as pytest or unittest, for ensuring software’s reliability.

· Familiarity with version control systems, such as Git, for efficient collaboration and code management.

· Design, develop, and implement machine learning models using Python. Perform data preprocessing, cleaning, and feature engineering. Train and evaluate machine learning models. Integrate models into production systems. Collaborate with cross-functional teams to meet project goals.

· Write efficient, reusable, and testable Python code.

· Stay updated with the latest advancements in AI/ML technologies.

· Optimize and fine-tune machine learning models for performance.

· Participate in code reviews and ensure adherence to best practices.

Good-to-Have

Experience with multiple cloud providers (AWS, Azure, or GCP).

Knowledge of microservice architecture, Docker, and Kubernetes.

Proficiency in Linux system administration and troubleshooting.

Hands-on experience in cloud-native architecture design and implementation of distributed fault-tolerant enterprise applications.

Education Requirements: Bachelor's degree in technical discipline or equivalent experience required.