Expert in Artificial Intelligence Software Engineering

7 days ago

Kottayam, Kerala, India beBeeAI Full time ₹ 1,20,00,000 - ₹ 2,40,00,000
Software Development Engineer - AI/ML

GreyOrange is a global company that develops leading-edge fulfillment technology. Our technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future.

We apply modern thinking and technology to solve today's fulfillment challenges. We are looking for software development engineers who can design and implement backend infrastructure and APIs, write high-quality code that is robust, readable and scales, and possess the drive to dive deep, thrive and progress even in ambiguous situations.

The ideal candidate will have 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex, high-performance systems. They will also have proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, and Keras, with strong MLOps practices for model deployment and monitoring.

Responsibilities:
  • Design and implement backend infrastructure and APIs.
  • Write high-quality code that is robust, readable and scales.
  • Possess the drive to dive deep, thrive and progress even in ambiguous situations.
  • Encourage and support knowledge sharing within teams and external groups.
  • Troubleshoot & debug applications.
  • Adopt problem-solving as a way of life - always go to the root cause.
  • Collaborate with the team to discuss and implement ideas.
Requirements:
  • 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex, high-performance systems.
  • Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, and Keras, with strong MLOps practices for model deployment and monitoring.
  • Solid foundation in machine learning, deep learning, and AI integration into production systems with real-world performance trade-off understanding.
  • Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices.
  • Deep experience in designing scalable, distributed systems using microservices, event-driven architecture, and principles like the CAP theorem and fault tolerance.

Equal Opportunity Employer

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