AI Visionary Developer

13 hours ago

Anantapur, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 25,00,000
Artificial Intelligence Engineer

This role is an excellent opportunity to work on advanced AI projects, leveraging expertise in pattern recognition, software development, and natural language processing.

As an AI Engineer, you will be responsible for tasks such as developing and fine-tuning machine learning models, particularly NLP models. You will also have the opportunity to deploy machine learning models at scale using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure).

Key Responsibilities:
  • Develop and fine-tune machine learning models, particularly NLP models
  • Deploy machine learning models at scale using Docker, Kubernetes, or cloud services (AWS, GCP, Azure)
  • Work on advanced AI projects, leveraging expertise in pattern recognition, software development, and natural language processing
Required Qualifications:
  1. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  2. Strong experience with large language models (LLMs) such as GPT, BERT, T5, etc.
  3. Strong proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, Hugging Face, or similar
  4. Expertise in developing and fine-tuning machine learning models, particularly NLP models
  5. Experience deploying machine learning models at scale using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure)
  6. Familiarity with model optimization techniques (e.g., pruning, quantization, distillation)
  7. Strong frontend development experience with technologies such as React, Angular, or Vue.js
  8. Experience integrating APIs and connecting frontend interfaces with backend AI systems
  9. Strong understanding of web deployment processes and cloud-based infrastructures
  10. Excellent problem-solving skills, with the ability to troubleshoot both frontend and backend issues
Preferred Qualifications:
  1. A proven track record of publications in high-impact international conferences (e.g., NeurIPS, ICML, ACL) or journals
  2. Experience with reinforcement learning or multi-agent systems
  3. Familiarity with research methodologies and the ability to contribute to advancing the state-of-the-art in AI
  4. Experience with AI model interpretability and explainability
  5. Contributions to open-source AI projects
  6. Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for both frontend and backend deployments

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