Data Preprocessing Jobs – Apply to Latest Data Preprocessing Job Vacancies

3 - 6 years

3 - 4 Lacs

Gurgaon

Work from Office

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

Posted 3 months ago

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AI / ML Professional SRS Infoway

8 - 10 years

12 - 14 Lacs

Pune

Work from Office

Candidate should be an having an Expertise knowledge in AI / MLand should of 8 + years of Experience in the same. Strong Python Skills. Developing Machine Learning Models: Designing, training, and optimizing models using algorithms such as decision trees, neural networks, and ensemble methods to solve business or research problems. Data Preprocessing and Feature Engineering: Cleaning, transforming, and selecting relevant features from raw data to improve model performance and ensure the quality of input data for training. Model Evaluation and Validation: Using metrics like accuracy, precision, recall, F1-score, and cross-validation techniques to evaluate the performance of machine learning models and fine-tune them.

Posted 3 months ago

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AI / ML Professional SRS Infoway

8 - 10 years

12 - 14 Lacs

Hyderabad

Work from Office

Posted 3 months ago

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