AI/ML Specialist

2 days ago

Vellore, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Job Description:

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AI/ML Engineer - Core Algorithm and Model Expert

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The role involves designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, audio processing, predictive analysis, and NLP applications.

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Key Responsibilities:

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  • 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 Engineers 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).">
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Required Skills and Qualifications:

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Essential Requirements:

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  • 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.">
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Core Skills & Tools:

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Technical Competencies:

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The ideal candidate should possess expertise in deep learning architectures, including CNNs, RNNs, LSTMs, GRUs, Transformers, GANs, VAEs, and Diffusion Models.

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They should also have experience with object detection, semantic segmentation, image classification, optical character recognition, facial recognition, anomaly detection, and sentiment analysis.

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Proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation is essential.

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Experience with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT is highly desirable.

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Knowledge of model compression, quantization, and deployment on GPU-enabled servers is a plus.

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Understanding of MLOps, version control using Git, and cross-team integration practices is expected to ensure seamless interoperability with other AI modules.

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Benefits:

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We offer a dynamic work environment with opportunities for growth and professional development.

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Competitive compensation package.

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Opportunities for collaboration and knowledge sharing.

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Recognition and rewards for outstanding performance.

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Others:

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The selected candidate will work closely with our team to design, develop, and deploy AI-powered solutions that drive business growth and improve customer experience.

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They will be responsible for ensuring that all developed models meet the highest standards of quality, reliability, and security.

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The ideal candidate should possess excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams.

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