Posted:1 day ago|
Platform:
On-site
Full Time
• 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 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.
• 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.
• Be part of an innovative and forward-thinking team that is redefining the future of AI. • Work on exciting, high-impact AI projects in an onsite, collaborative environment in Rewa, Madhya Pradesh.
• Opportunities for career growth and continuous learning in a fast-paced, dynamic field.
• Competitive salary and benefits package.
• Flexible work hours and the chance to work with cutting-edge technologies.
How to Apply: Please send your resume, cover letter, and any relevant publication links to info@signetarms.co. We are excited to learn more about how you can contribute to Signet Arms’ vision!
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