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Description supplied by the original job listing.
Responsibilities:
Design, develop, fine-tune, and optimize NLP and LLM-based solutions.
Build scalable AI/ML systems and production-ready applications.
Work extensively with Transformer architectures and state-of-the-art language models.
Conduct experiments, evaluate model performance, and improve accuracy through data-driven approaches.
Collaborate with product, engineering, and research teams to deliver AI-powered features and products.
Develop clean, efficient, and maintainable Python code following software engineering best practices.
Stay current with advancements in generative AI, NLP, and machine learning research.
Requirements:
3-6 years of experience in AI, machine learning, NLP, or related domains.
Strong Python programming and software engineering skills.
Solid understanding of NLP concepts and Transformer architectures.
Hands-on experience in model building, fine-tuning, evaluation, and deployment.
Strong computer science fundamentals, including algorithms, data structures, and system design.
Experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
Strong analytical and problem-solving abilities
Experience
3-6 yrs
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