
ai - Machine Learning Engineer - NLP Models
3 weeks ago
Academic / Professional Qualifications
- Bachelor's or Masters degree in Computer Science, Mathematics, Machine Learning or a related field. A Ph.D. in any of the above fields would be a big Exposure / Experience :
- Experience in building NLP models, from ground up and a solid grasp of vectorization, tokenization, encoders/decoder setup, backpropagation and bi-directional Objective :
You would be responsible for developing, implementing, and optimizing state-of-the-art NLP algorithms and models, right from conception to production. You will deploy models into production systems, ensuring scalability and reliability.
Your responsibilities will include, among other things, the following :
- Develop and implement machine learning models and NLP algorithms to solve real-life business problems and improve system stability and performance.
- Collaborate with product leads, business analysts and clients to understand product requirements, define objectives, and design appropriate solutions.
- Collect, pre-process, and analyze large datasets to extract relevant features and insights for model development.
- Apply various machine learning techniques, such as deep learning, reinforcement learning, supervised and unsupervised training to develop robust and scalable models.
- Optimize and fine-tune the models to improve accuracy, efficiency, and scalability.
- Develop data pipelines and infrastructure for efficient data ingestion, storage, and retrieval.
- Stay up to date with the latest advancements in NLP, machine learning and related fields, and incorporate relevant techniques into the existing products as well as those under development.
- Work closely with software engineers to integrate machine learning models into production systems and ensure scalability and reliability
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ai - Machine Learning Engineer - NLP Models
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Pune, India intellimation.ai Full timeAcademic / Professional Qualifications :- Bachelor's or Masters degree in Computer Science, Mathematics, Machine Learning or a related field. A Ph.D. in any of the above fields would be a big Exposure / Experience :- Experience in building NLP models, from ground up and a solid grasp of vectorization, tokenization, encoders/decoder setup,...
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