Sr. Data Scientist

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 constructing high-quality prediction systems to classify data. You will also be responsible for presenting information through data visualization techniques and handling data collection, preprocessing, and harmonization. Key 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, including tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for problem-solving and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution affecting model performance - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize online datasets for training - Define validation strategies, preprocessing, feature engineering, and data augmentation pipelines - Train models, tune hyperparameters, analyze errors, and design strategies for improvement - Deploy models to production Qualifications Required: - Sound understanding of ML and DL algorithms - Architecture-level knowledge of CNN and RNN algorithms - Experience with NLP data models and libraries, entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries - Proficient in Python and Streamlit for scripting and programming - Familiarity with data science toolkits like Python, NumPy, Transformers, Fast.AI - Proficiency in machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests - Knowledge of query languages and applied statistics skills - Data-oriented personality with skills in Data Wrangling and Data Exploration - Experience with tools like Tableau and DataPrep is a plus If you are an immediate joiner and believe you are the right candidate, we welcome you to join our team without any salary constraints. Email us at [Email Address] to express your interest. Our office is located in Pune, Maharashtra. 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 constructing high-quality prediction systems to classify data. You will also be responsible for presenting information through data visualization techniques and handling data collection, preprocessing, and harmonization. Key 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, including tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for problem-solving and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution affecting model performance - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize online datasets for training - Define validation strategies, preprocessing, feature engineering, and data augmentation pipelines - Train models, tune hyperparameters, analyze errors, and design strategies for improvement - Deploy models to production Qualifications Required: - Sound understanding of ML and DL algorithms - Architecture-level knowledge of CNN and RNN algorithms - Experience with NLP data models and libraries, entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries - Proficient in Python and Streamlit for scripting and programming - Familiarity with data science toolkits like Python, NumPy, Transformers, Fast.AI - Proficiency in machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests - Knowledge of query languages and applied statistics skills - Data-oriented personality with skills in Data Wrangling and Data Exploration - Experience with tools like Tableau and DataPrep is a plus If you are an immediate joiner and believe you are the right candidate, we welcome you to join our team without any salary constraints. Email us at [Email Address] to express your interest. Our office is located in Pune, Maharashtra.