Sr. Data Scientist

Red Bixbite Solutions

3 - 7 years

0 Lacs

pune maharashtra

Posted:22 hours ago| Platform: Shine logo

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Skills Required

machine learning data visualization data collection harmonization artificial intelligence feature selection model development resource management algorithm analysis data visualization data cleaning data acquisition entity extraction numpy transformers svm data wrangling tableau natural language processing nlp preprocessing classifier optimization validation strategies feature engineering data augmentation model training hyperparameter tuning model deployment ml dl algorithms cnn rnn algorithms tensorflow scikitlearn spacy transfer learning python programming streamlight data science toolkits fastai knn naive bayes decision forests query languages applied statistics data exploration dataprep

Work Mode

On-site

Job Type

Full Time

Job Description

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,

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Sr. Data Scientist