Data Driven AI Specialist

20 hours ago

Bellary, Karnataka, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

At the forefront of innovation, we are pushing boundaries in defense technology by integrating cutting-edge AI solutions for military, law enforcement, and national security sectors. Our advanced firearms and precision engineering expertise combine to create revolutionary technologies.

We are seeking an Artificial Intelligence Engineer to join our team in Ballari, India. As an AI Engineer, you will be responsible for tasks such as pattern recognition, software development, neural networks, and natural language processing on a day-to-day basis.

To succeed in this role, you should possess:

  • 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.

Prior experience in the following areas is highly desirable:

  • 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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