Leena Ai
1 year ago
Machine Learning Engineer
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Company information
- Company
- Leena Ai
- Location
- India India
- Posted
- 1 year ago
Job description
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:
Required Skills and Qualifications:
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
Required skills
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