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
  
  

Skills: embeddings,data preprocessing techniques,ai fundamentals,machine learning,gpt,design,natural language processing (nlp),sequence-to-sequence models,pytorch,tokenization,python,bert,nlp,large language models (llms),attention mechanisms,models,hugging face