ML developer will handle the responsibilities of designing and developing the models to automate the process Responsibilities will include Knowledge on basics of math and probability Ability to write code in Python Ability to perform statistical analysis and identify valuable insights from the data Good experience in handling various kinds of data such as text, numerical and images etc.
Ability to handle large volumes of data and build data pipelines from various data sources like SQL, NOSQL databases, HDFS, cloud etc.
Good exposer towards machine learning (ML), deep learning (DL) problem solving such as supervised, unsupervised learning techniques, data cleaning, feature extraction, feature analysis such as dimensionality reduction and feature selection, data preparation, data balancing, model selection, fitting data into ML, DL and NLP models.
Good experience in natural language processing solutions such as text analysis, preprocessing, information extraction, custom NER building, text classification, sentiment analysis, text clustering / topic modeling, pretrained language modeling techniques such as TF / IDF, word2vec, send2vec, doc2vec, BERT etc.
text generation, auto correction, language translation etc. Experience in image processing, classification, object detection etc.
Strong knowledge in model validation techniques, tuning the parameters towards improve the model accuracy Good understanding and strong knowledge in machine learning and deep learning algorithms and frameworks like scikit-learn, tourch, tensorflow, yolo, keras etc.
Education Type BE Job Type Full Time-Regular Experience Level Senior Level Total Years of Exp 5