AI Systems Developer

5 hours ago

Thāne, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Signet Arms is a pioneering defense technology company that specializes in advanced firearms and AI-driven weapon systems. We deliver cutting-edge solutions for military, law enforcement, and national security sectors by merging precision engineering with next-gen artificial intelligence.

This role requires an experienced AI Systems Developer to work on pattern recognition, software development, neural networks, and natural language processing tasks daily.

Key qualifications include:

  • A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong experience with large language models like GPT, BERT, T5, etc.
  • Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, Hugging Face, or similar.
  • Expertise in developing and fine-tuning machine learning models, particularly NLP models.
  • Experience deploying machine learning models at scale using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure).
  • Familiarity with model optimization techniques, such as pruning, quantization, and distillation.
  • Strong frontend development skills with technologies like React, Angular, or Vue.js.
  • Experience integrating APIs and connecting frontend interfaces with backend AI systems.
  • Strong understanding of web deployment processes and cloud-based infrastructures.
  • Excellent problem-solving skills, with the ability to troubleshoot both frontend and backend issues.

Preferred qualifications include:

  • A proven track record of publications in high-impact international conferences (e.g., NeurIPS, ICML, ACL) or journals.
  • Experience with reinforcement learning or multi-agent systems.
  • Familiarity with research methodologies and the ability to contribute to advancing the state-of-the-art in AI.
  • Experience with AI model interpretability and explainability.
  • Contributions to open-source AI projects.
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for both frontend and backend deployments.

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