Artificial Intelligence Engineer

Company Description

Signet Arms is an innovative defense technology company specializing in advanced firearms and AI-driven weapon systems. Combining precision engineering with next-gen artificial intelligence, we provide cutting-edge solutions for military, law enforcement, and national security sectors.

Role Description

This is a full-time on-site role for an Artificial Intelligence Engineer located in Rewa. The AI Engineer will be responsible for tasks such as pattern recognition, software development, neural networks, and natural language processing on a day-to-day basis.

Required Qualifications:

• A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine

Learning, or a related field.

• Strong experience with large language models (LLMs) such as GPT, BERT, T5, etc.

• Strong 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 (e.g., pruning, quantization,

distillation).

• Strong frontend development experience with technologies such as React,

Angular, or

• 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:

• 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.