Glocomms
Why You'll Love This Role:
Innovative Work:
Be at the forefront of AI technology, working on cutting-edge projects that make a real impact. Growth Opportunities:
Expand your skills in both backend development and AI, with plenty of room for professional growth. Collaborative Environment:
Work with a talented team that values creativity, collaboration, and continuous learning. Key Responsibilities Backend Development:
Create and maintain scalable, reliable backend systems, APIs, and services AI Integration:
Implement and refine AI models for smooth integration into our platform Model Fine-tuning:
Enhance pre-trained AI models for optimal production performance AI Application Development:
Develop AI-driven features through Neural Networks (DNN or CNN) System Optimization:
Ensure high performance, scalability, and reliability of AI applications and backend systems Requirements: Bachelor's or Master's in Computer Science, Engineering, or a related field. 1-2 years of experience in full-stack or backend software engineering. Proven experience with AI technologies and model fine-tuning. Technical Skills: Proficiency in backend technologies (Node.js, Python, Java, Go). Solid understanding of AI/ML fundamentals and neural networks. Hands-on experience with transformer-based models and cloud platforms (AWS, GCP, Azure). Familiarity with Docker or Kubernetes and CI/CD pipelines.
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Be at the forefront of AI technology, working on cutting-edge projects that make a real impact. Growth Opportunities:
Expand your skills in both backend development and AI, with plenty of room for professional growth. Collaborative Environment:
Work with a talented team that values creativity, collaboration, and continuous learning. Key Responsibilities Backend Development:
Create and maintain scalable, reliable backend systems, APIs, and services AI Integration:
Implement and refine AI models for smooth integration into our platform Model Fine-tuning:
Enhance pre-trained AI models for optimal production performance AI Application Development:
Develop AI-driven features through Neural Networks (DNN or CNN) System Optimization:
Ensure high performance, scalability, and reliability of AI applications and backend systems Requirements: Bachelor's or Master's in Computer Science, Engineering, or a related field. 1-2 years of experience in full-stack or backend software engineering. Proven experience with AI technologies and model fine-tuning. Technical Skills: Proficiency in backend technologies (Node.js, Python, Java, Go). Solid understanding of AI/ML fundamentals and neural networks. Hands-on experience with transformer-based models and cloud platforms (AWS, GCP, Azure). Familiarity with Docker or Kubernetes and CI/CD pipelines.
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