Chief AI Architect

3 days ago

Mysore, Karnataka, India beBeeMachineLearning Full time ₹ 12,00,000 - ₹ 17,00,000
Artificial Intelligence Engineer

We are seeking an experienced Artificial Intelligence Engineer to join our team. The ideal candidate will have a strong background in developing and fine-tuning machine learning models, particularly NLP models.

Job Description:

This is a full-time on-site role for an Artificial Intelligence Engineer located in Rewa. As a key member of our engineering team, you will be responsible for tasks such as pattern recognition, software development, neural networks, and natural language processing on a day-to-day basis.

Required Skills and 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 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.

Benefits:

We offer a dynamic work environment, opportunities for growth and development, and a competitive salary package.

Others:

  • 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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