Sr. Data Scientist Red Bixbite Solutions

About Red Bixbite Solutions

Job Description

Pune Full Time 02/01/2023. Experience: 3-5 years. Job description We are looking for a candidate whose primary focus will be in applying Natural Language Processing (NLP) AI techniques, doing machine learning, and building high-quality prediction systems to classify data. Presenting information using data visualization techniques. Undertaking data collection, preprocessing, and harmonization Roles and Responsibilities Develop applications in machine learning and artificial intelligence. Selecting features, building and optimizing classifiers using machine learning techniques. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Desired Candidate Profile Sound understanding of ML and DL algorithm Architecture level understanding of CNN RNN algorithm Experience with NLP data models and libraries Good understanding of entity extraction using NLP Handson tensorflow, scikit learn, spacy libraries etc Good knowledge of transfer learning Good scripting and programming skills in Python and Streamlight Experience with common data science toolkits, such as Python, NumPy, Transformers, Fast.AI, etc. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Proficiency in using query languages Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality. Data Wrangling and Data Exploration Tableau, DataPrep is a PLUS Note Preference for immediate joiner and salary no bar for right candidate.,