Advanced AI/ML Engineer Position

3 days ago

Kottayam, Kerala, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI/ML Engineer - Core Algorithm and Model Expert">

Job Description:

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The primary objective of this role is to design, develop, and optimize advanced artificial intelligence (AI)/ machine learning (ML) models for various applications. This includes computer vision, generative AI, audio processing, predictive analysis, and natural language processing (NLP). The ideal candidate must possess in-depth expertise in algorithm development and model deployment as production-ready products for naval applications.

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Key Responsibilities:

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1. Design and train models using naval-specific data and deliver them in the form of end products.

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2. Fine-tune open-source large language models (LLMs) for navy-specific tasks.

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3. Preprocess, label, and augment datasets.

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4. Implement quantization, pruning, and compression for deployment-ready AI applications.

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5. Develop, train, fine-tune, and optimize LLMs and translation models for mission-critical AI applications of the Indian Navy.

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Required Skills and Qualifications:

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Essential Requirements:

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1. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Statistics, or a related field with exceptional academic records.

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2. Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines.

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Desired Specialized Certifications:

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1. Professional ML certifications from Google, AWS, Microsoft, or NVIDIA.

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2. Deep Learning Specialization.

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3. Computer Vision or NLP specialization certificates.

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4. TensorFlow/PYTORCH Professional Certification.

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Core Skills & Tools:

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1. Languages: Python (must), C++/Rust.

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2. Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.

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3. ML Concepts: Transfer learning, RAG, XAI (SHAP/LIME), reinforcement learning LLM finetuning, SFT, RLHF, LoRA, QLorA and PEFT.

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4. Optimized Inference: ONNX Runtime, TensorRT, TorchScript.

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5. Data Tooling: Pandas, NumPy, Scikit-learn, OpenCV.

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6. Security Awareness: Data sanitization, adversarial robustness, model watermarking.

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Benefits:

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This role offers a unique opportunity to work on cutting-edge AI/ML projects, develop advanced skills, and contribute to the growth of the organization.

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Others:

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Candidates should have hands-on experience with at least two major AI domains, experience deploying models in production environments, and a track record of optimizing models for real-time applications.

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