2-5 yrs of proven experience in ML, DL, and preferably NLP.

Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.

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) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.

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) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
) Solid understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
) Expertise in RNN, LSTM, and other neural network architectures.
) DL frameworks: Tensorflow, Pytorch, Keras
) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
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Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.

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) We offer Competitive remuneration.
) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
) We offer flexibility to choose your tools, methods, and ways to collaborate.
) We always value and believe in new ideas and encourage creative thinking.
) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users. Skills:- Natural Language Processing (NLP), Data Science, Machine Learning (ML), Named-entity recognition, Transformer, BERT, Django, Long short-term memory (LSTM), NLU and CNN

📌 ML Engineer (Bengaluru)
🏢 NeuranceAI Technologies Private
📍 Bengaluru