AES - Python Engineer

Key

• Develop, test, and maintain AI-driven applications using Python.
• Collaborate with data scientists and AI engineers to integrate machine learning models into production systems.
• Optimize code for performance, scalability, and maintainability.
• Design and implement APIs for AI-based services.
• Work with large datasets and perform data preprocessing and feature engineering.
• Deploy and monitor AI models in production environments.
• Stay updated with the latest advancements in AI, machine learning, and Python development.
• Participate in code reviews and contribute to team best practices.

Required Skills & Qualifications:

• Proficiency in Python programming.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
• Knowledge of data manipulation libraries like Pandas and NumPy.
• Experience with RESTful APIs and web frameworks like Flask or FastAPI.
• Understanding of software development best practices, including version control (Git) and CI/CD pipelines.
• Experience with cloud platforms (Azure) is a plus.
• Familiarity with databases (SQL and NoSQL).
• Strong problem-solving and analytical skills.
• Ability to work in a collaborative, agile environment.
• Experience with NLP, computer vision, or reinforcement learning.
• Exposure to MLOps practices and tools such as Docker, Kubernetes, and MLflow.
• Knowledge of distributed computing and big data technologies.