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

(ref:hirist.tech)

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