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 stateoftheart NLP solutions. You will collaborate with crossfunctional teams to design scalable AIdriven 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.
- 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.
Required Skills and Qualifications:
- 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