Advanced AI/ML Model Developer

10 hours ago

Bareilly, Uttar Pradesh, India beBeeArtificialintelligence Full time US$ 90,000 - US$ 1,80,000
Job Description

A seasoned AI/ML Engineer is sought after to spearhead the development and deployment of cutting-edge models for computer vision, generative AI, audio processing, predictive analysis, and NLP applications. The ideal candidate will possess a deep understanding of algorithm development and model deployment as production-ready products for naval applications.

The engineer will be responsible for designing, training, and fine-tuning advanced AI/ML models using naval-specific data. They must ensure that models are modular, reusable, and deployable in resource-constrained environments.

  • 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.
  • 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).

Key qualifications include:

Required Skills and 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.
Core Skills & Tools

The ideal candidate will have expertise in:

  • Languages: Python (must), C++/Rust.
  • Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.
  • ML Concepts: Transfer learning, RAG, XAI (SHAP/LIME), reinforcement learning LLM finetuning, SFT, RLHF, LoRA, QLorA and PEFT.
  • Optimized Inference: ONNX Runtime, TensorRT, TorchScript.
  • Data Tooling: Pandas, NumPy, Scikit-learn, OpenCV.
  • Security Awareness: Data sanitization, adversarial robustness, model watermarking.
Benefits

The successful candidate can expect:

  • Hands-on experience with at least 2 major AI domains.
  • Experience deploying models in production environments.
  • Contribution to open-source AI projects.
  • Leading 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.
  • Experience mentoring technical teams.
Product Development Skills

The ideal candidate should have experience in:

  • End-to-end ML pipeline development (data ingestion to model serving).
  • User feedback integration for model improvement.
  • Cross-platform model deployment (cloud, edge, mobile).
  • API design for ML model integration.

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