Senior AI/ML Developer Position

4 days ago

Dindigul, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI/ML Engineer Job Description

We are seeking an experienced AI/ML engineer to join our team. The successful candidate will be responsible for designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, audio processing, predictive analysis, and NLP 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.
  • Develop, train, fine-tune, and optimize Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy.
  • Build multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation.
  • Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript).
  • Generate reusable inference modules that can be plugged into microservices or edge devices.

Required Skills & Qualifications:

  • 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.
  • Professional ML certifications from Google, AWS, Microsoft, or NVIDIA.
  • Deep Learning Specialization.
  • Computer Vision or NLP specialization certificates.
  • TensorFlow/ PyTorch Professional Certification.

Benefits:

  • Opportunity to work on cutting-edge AI/ML projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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.
  • Experience mentoring technical teams.

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