AI/Machine Learning Engineer

2 weeks ago

Kanpur, Uttar Pradesh, India beBeeArtificialIntelligenceEngineer Full time ₹ 90,00,000 - ₹ 1,20,00,000

Job Title: AI/ML Engineer – Core Algorithm and Model Expert

This is a highly specialized role that requires an individual with exceptional expertise in designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, audio processing, predictive analysis, and NLP applications. The ideal candidate will have a strong foundation in transformer-based architectures and hands-on experience with pretraining and fine-tuning methodologies such as Supervised Fine-Tuning (SFT), Instruction Tuning, Reinforcement Learning from Human Feedback (RLHF), and Parameter-Efficient Fine-Tuning (LoRA, QLoRA, Adapters).

The successful candidate will be responsible for the development, training, fine-tuning, and optimization of Large Language Models (LLMs) and translation models for mission-critical AI applications. This includes proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation.

In addition to technical skills, the candidate should demonstrate practical expertise with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT. Knowledge of model compression, quantization, and deployment on GPU-enabled servers is highly desirable.

The ideal candidate will possess a B Tech / M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional academic record. Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines are essential requirements.

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
  • Develop, train, fine-tune, and optimize LLMs and translation models for mission-critical AI applications
  • Build multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation
  • Demonstrate practical expertise with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT
  • Deploy models in production environments

Core Skills & Tools:

  • Languages: Python (expert level), C++/Rust

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