Machine Learning Engineer

Job Description

We are seeking a talented and experienced Machine Learning Engineer with a strong focus on Natural Language Processing (NLP). You will play a key role in developing, optimizing, and deploying state-of-the-art NLP solutions. You will collaborate with cross-functional teams to design scalable AI-driven applications that leverage the latest advancements in machine learning. Key Responsibilities: Design, develop, and implement NLP models using modern techniques like BERT, GPT, and other LLMs. Fine-tune pre-trained models for specific NLP applications, text summarization, and question-answering systems. Research and experiment with cutting-edge ML techniques and optimize model performance. Collaborate with product managers and software engineers to create end-to-end 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. Required Skills and Qualifications: 3-6 years of experience in machine learning with a focus on NLP Hands-on 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, sequence-to-sequence models, and attention mechanisms Experience with fine-tuning models for specific use cases Familiarity with data preprocessing techniques for NLP tasks Experience with ML Serving for deploying models at scale Strong problem-solving skills and ability to work in a fast-paced environment