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Senior Technology Specialist
3 weeks ago
We develop cutting-edge technology solutions that meet customer expectations for timely delivery. In today's fast-paced retail environment, businesses must adopt innovative approaches to remain competitive.
About Our SolutionsOur technology specializes in transforming warehouses and distribution centers into efficient systems. Our AI-driven operating system and robotic series prioritize decision-making and workflows for optimal performance across a distribution center.
Job Overview:- Design and Implement Backend Infrastructure: Develop robust, scalable APIs.
- Write High-Quality Code: Produce code that is efficient, maintainable, and follows best practices.
- Possess Problem-Solving Skills: Drive deep to resolve complex issues and thrive in ambiguous situations.
- Encourage Knowledge Sharing: Support team members in sharing knowledge and expertise.
- Troubleshoot and Debug Applications: Identify and fix issues efficiently.
- Avoid Overcomplication: Adopt problem-solving as a way of life, focusing on root causes.
- Collaborate with Teams: Discuss and implement ideas with colleagues.
- Build Responsive Applications: Create applications that meet user needs effectively.
- 6-10 Years of Experience: Strong problem-solving skills and expertise in building complex systems.
- AI/ML Expertise: Proven experience in building end-to-end AI/ML applications using TensorFlow, PyTorch, and Keras.
- Machine Learning Knowledge: Solid foundation in machine learning, deep learning, and AI integration into production systems.
- NLP/Computer Vision: Exposure to NLP, Computer Vision, or Reinforcement Learning, and understanding of model interpretability and responsible AI practices.
- Distributed Systems: Deep experience in designing scalable, distributed systems using microservices, event-driven architecture, and principles like the CAP theorem and fault tolerance.
- System Strategies: Skilled in system strategies, including load balancing, caching, service discovery, rate limiting, disaster recovery, and observability.
- Technical Skills: Hands-on experience with Java Spring Boot, Python, Android, and containerised deployments using Docker and Kubernetes.
- Database Management: Strong knowledge of RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns.
- Version Control: Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimisation.