Required Skills:

• 4+ years of relevant industry experience, with at least 2 years of experience in NLP/ML engineering and a minimum of 2 years of practical experience with modern LLMs.
• Advanced expertise in implementing and optimizing LLM architectures (proprietary and open-source models).
• Demonstrated mastery of prompt engineering and LLM fine-tuning techniques.
• Strong knowledge of LLM deployment, scaling, and multi-model architectures.
• Advanced proficiency in NLP techniques, sentiment analysis, and text classification systems.
• Expert-level Python programming with deep learning frameworks (PyTorch, TensorFlow).
• Proven experience with clustering algorithms and real-time text-processing systems.
• Strong command of SQL and database management for large-scale data operations.
• Extensive experience with cloud computing platforms and MLOps tools.
• Proficiency with version control systems (Git) and collaborative development workflows.