Snoonu
Snoonu is an innovative delivery service that connects consumers with local businesses, offering a seamless platform for ordering food, groceries, and other essentials. The company focuses on enhancing the customer experience by providing fast and reliable deliveries through a user-friendly mobile app.
Delivery • Food Delivery • Online Shopping • Grocery Delivery • Shops
Senior ML Backend Engineer, Python
March 12
Snoonu
Snoonu is an innovative delivery service that connects consumers with local businesses, offering a seamless platform for ordering food, groceries, and other essentials. The company focuses on enhancing the customer experience by providing fast and reliable deliveries through a user-friendly mobile app.
Delivery • Food Delivery • Online Shopping • Grocery Delivery • Shops
📋 Description
• Lead the development and maintenance of backend micro services and APIs using Python, ensuring high performance, scalability, and reliability. • Collaborate with a cross-functional team of engineers, data scientists, and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability. • Conduct in-depth code reviews, enforce best practices, and provide constructive feedback. • Monitor and optimize application performance, troubleshoot issues, and implement necessary fixes. • Lead production deployments and manage the process to ensure efficiency. • Participate in technical interviews to evaluate candidates' technical skills. • Stay up-to-date with the latest industry trends and advancements in Python backend development, ensuring our capabilities remain competitive and cutting-edge. • Guide engineers in implementing complex features. • Mentor junior developers and foster a collaborative development environment.
🎯 Requirements
• BSc or MSc in Computer Science, Engineering, or a related field. • 5+ years of experience as a Backend Developer, with a focus on Python or as a Machine Learning Engineer. • Proficiency in designing and implementing RESTful APIs and API authentication mechanisms. • Expertise in writing and maintaining unit tests to ensure code quality and reliability. • Strong knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB, Redis). • Experience with cloud platforms (e.g. AWS, Azure, Google Cloud) and containerization (e.g. Docker, Kubernetes). • Experience with event-driven architectures (e.g. Kafka). • Familiarity with CI/CD pipelines and version control systems. • Advanced skills in diagnosing and resolving performance issues and sophisticated debugging. • Excellent problem-solving skills and ability to work independently as well as in a team-oriented, collaborative environment. • Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team. • Nice to Have: Expertise in implementing AI/ML Systems using Python. • Experience in ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. • Formal Education in Data Science / Solid understanding of machine learning algorithms, statistical methods, and data mining techniques.
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