Advanced AI/ML Model Developer

5 hours ago

Malappuram, Kerala, India beBeeArtificial Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

AI/ML Engineer Position

We are seeking an experienced AI/ML engineer to join our team. As a core algorithm and model expert, you will be responsible for 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 for naval applications. You will also ensure that models are modular, reusable, and deployable in resource-constrained environments.

  • Job 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 Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy
  • Use transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB)
  • Apply 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)
  • Built 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
  • 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
  • Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript)
  • Generate reusable inference modules that can be plugged into microservices or edge devices
  • Maintain reproducible pipelines (e.g., with MLFlow, DVC, Weights & Biases)
Qualifications
  • Essential Requirements:
  • 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
  • Desired Specialized Certifications:
  • Professional ML certifications from Google, AWS, Microsoft, or NVIDIA
  • Deep Learning Specialization
  • Computer Vision or NLP specialization certificates
  • TensorFlow/ PyTorch Professional Certification

Contact us at NK@BLPARROT.IN and JK@BLUPARROT.IN

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