AI/ML Specialist

5 days ago


Kannur, Kerala, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI/ML Engineer - Core Algorithm and Model Expert

This is a challenging role that requires 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 deep expertise in algorithm development and model deployment as production-ready products.

Key responsibilities include:

  • Designing and training models using naval-specific data and delivering them in the form of end products
  • Fine-tuning open-source LLMs (e.g. LLaMA, Qwen, Mistral, Whisper, Wav2Vec, Conformer models) for Navy-specific tasks
  • Preprocessing, labeling, and augmenting datasets
  • Implementing 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. The candidate must possess a strong foundation in transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB) 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).

Other requirements include building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation. Proficiency in libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT is also essential. Knowledge of model compression, quantization, and deployment on GPU-enabled servers is highly desirable. Familiarity with MLOps, version control using Git, and cross-team integration practices is expected to ensure seamless interoperability with other AI modules.

Candidates should have a 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 are desired. Deep Learning Specialization and Computer Vision or NLP specialization certificates are also beneficial.

The ideal candidate will have hands-on experience with at least 2 major AI domains, experience deploying models in production environments, contribution to open-source AI projects, and 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, and experience mentoring technical teams are also important.

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