Machine Learning Engineer

• Design develop and implement NLP models using modern techniques like BERT GPT and other LLMs.
• Finetune pretrained models for specific NLP applications text summarization and questionanswering systems.
• Research and experiment with cuttingedge ML techniques and optimize model performance.
• Collaborate with product managers and software engineers to create endtoend solutions that scale in production.
• Evaluate and improve model accuracy scalability and performance using appropriate metrics.
• Stay updated on the latest trends in NLP and machine learning to implement best practices.

• 36 years of experience in machine learning with a focus on NLP.
• Handson experience with BERT and other transformer models.
• Proficiency in working with large language models (e.g. GPT T5 etc.).
• Strong programming skills in Python with experience in ML libraries like PyTorch Hugging Face.
• Deep understanding of tokenization embeddings sequencetosequence models and attention mechanisms.
• Experience with finetuning models for specific use cases.
• Familiarity with data preprocessing techniques for NLP tasks.
• Experience with ML Serving for deploying models at scale.
• Strong problemsolving skills and ability to work in a fastpaced environment.

attention mechanisms,models,ml,tokenization,gpt,python,natural language processing,embeddings,pytorch,llms,sequence-to-sequence models,hugging face,nlp,ml serving,machine learning,data preprocessing,bert