Job
Description
As a Python Web API Developer with Machine Learning expertise, you will be responsible for the following key responsibilities: - 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 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. Qualifications required for this role include: - Bachelor's degree in technical discipline or equivalent experience. - 4+ years of relevant experience. - Experience with multiple cloud providers (AWS, Azure, or GCP) is a plus. - Knowledge of microservice architecture, Docker, and Kubernetes is desirable. - Proficiency in Linux system administration and troubleshooting is advantageous. - Hands-on experience in cloud-native architecture design and implementation of distributed fault-tolerant enterprise applications would be beneficial. As a Python Web API Developer with Machine Learning expertise, you will be responsible for the following key responsibilities: - 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 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. Qualifications required for this role include: - Bachelor's degree in technical discipline or equivalent experience. - 4+ years of relevant experience. - Experience with multiple cloud providers (AWS, Azure, or GCP) is a plus. - Knowledge of microservice architecture, Docker, and Kubernetes is desirable. - Proficiency in Linux system administration and troubleshooting is advantageous. - Hands-on experience in cloud-native architecture design and implementation of distributed fault-tolerant enterprise applications would be beneficial.
