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AI Development Specialist

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Coimbatore, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Title: AI Development Specialist

Design and develop advanced AI models using machine learning and deep learning techniques to drive business growth.

Key Responsibilities:
  • Develop and implement AI strategies to enhance software applications and drive user engagement.
  • Collaborate with cross-functional teams to integrate AI models into software applications, ensuring seamless integration and optimal performance.
  • Maintain and update large language models (LLMs) for tasks like text generation, summarization, and translation to ensure accuracy and efficiency.
  • Stay up-to-date with the latest advancements in AI research and apply them to real-world problems to drive innovation and growth.
Required Skills and Qualifications:
  • 3+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models.
  • Experience with generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E) RAG and Prompt Engineering.
  • Understanding of model fine-tuning, transfer learning, and prompt engineering in the context of large language models (LLMs).
  • Strong programming skills in Python and familiarity with relevant libraries and frameworks.
  • Hands-on experience in building data applications using Streamlit or similar tools.
  • Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections.
  • Proficiency with Hugging Face Transformers, PyTorch, or TensorFlow.
  • Experience in training and deploying LLMs for tasks like text generation, summarization, or translation.
  • Familiarity with AdamW, learning rate warm-up, and optimization strategies.
  • Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA).
  • Solid debugging and performance tuning skills.
Preferred Skills:
  • Experience with Docker, Kubernetes, and MLOps.
  • Knowledge of CI/CD pipelines and model deployment best practices.