Expert Artificial Intelligence and Machine Learning Specialist

2 days ago


Guntur, Andhra Pradesh, India beBeeAIENGINEER Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

We're looking for a skilled Artificial Intelligence/Machine Learning Engineer

To work with our team, you'll need to have expertise in designing and developing advanced AI/ML models for computer vision, generative AI, audio processing, predictive analysis, and NLP applications. Your experience should include working with naval-specific data, delivering end-products, fine-tuning open-source LLMs, and implementing model compression techniques for deployment-ready AI applications.

Key Responsibilities:

  • Design and train models using Naval-specific data and deliver them in the form of end products
  • Fine-tune open-source LLMs (e.g., LLaMA, Qwen, Mistral, Whisper, Wav2Vec, Conformer models) for Navy-specific tasks
  • Preprocess, label, and augment datasets
  • Implement quantization, pruning, and compression for deployment-ready AI applications
  • The engineer will be responsible for the development, training, fine-tuning, and optimization of Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy
  • Proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation is essential
  • Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript)

Required Skills & Qualifications:

  • B Tech / M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional academic record
  • Professional ML certifications from Google, AWS, Microsoft, or NVIDIA
  • Deep Learning Specialization
  • Computer Vision or NLP specialization certificates
  • TensorFlow/ PyTorch Professional Certification

Benefits:

  • Promising career growth opportunities
  • Collaborative environment
  • Competitive salary

Others:

  • Experience deploying models in production environments
  • Contribution to open-source AI projects
  • Led development of multiple end-to-end AI products
  • Experience scaling AI solutions for large user bases
  • Track record of optimizing models for real-time applications


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