AI and Machine Learning Engineer

3 days ago

Coimbatore, Tamil Nadu, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Us

We develop cutting-edge technology to deliver products efficiently.

Leveraging AI, robotics and machine learning, we transform order fulfillment and customer experiences.

  • We apply modern solutions to tackle current challenges.

Our Solutions

We specialize in bringing warehouses, distribution centers, and fulfillment centers into the future with our GreyMatter Fulfillment Operating System and Ranger robot series.

  • The system continuously optimizes tasks, time and teams for maximum performance.

Responsibilities

  • Design and implement scalable infrastructure and APIs.
  • Write high-quality code that is robust, readable and efficient.
  • Possess the drive to dive deep and thrive in complex situations.
  • Encourage knowledge sharing within teams and external groups.
  • Troubleshoot & debug applications.
  • Absorb problem-solving as a way of life - always go to the root cause.
  • Collaborate with the team to discuss and implement ideas.
  • Build responsive, robust and optimized systems.

Requirements:

  • 6–10 years of experience in software development with strong problem-solving skills and expertise in building 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 distributed systems using microservices, event-driven architecture, and principles like the CAP theorem and fault tolerance.
  • Skilled in system strategies, including load balancing, caching, service discovery, rate limiting, disaster recovery, and observability.
  • Hands-on with Java Spring Boot, Python, Android, and containerized deployments using Docker and Kubernetes.
  • Strong knowledge of RESTful services, Kafka-based messaging, multithreading, and inter-process communication.
  • Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns.
  • Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimization.

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