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Responsibilities: Extract, load and transform data (ETL) from structured and unstructured sources Data operations related to Natural Language Processing, Computer Vision, Time Series Create and fine-tune machine learning and statistical models Work with public...
Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first...
Total Experience Required:– 6+ years with at least 4 years of Machine Learning and AI Technical Skills Required:- • Programming skills:- Python (with working experience in most of common libraries like Scikit , numpy,...
R Packages for Data Science, you’ll learn about the tidyverse library in this lesson, which is a collection of R tools that you can use to manipulate your datasets. You’ll also discover how to...
 Job Responsibilities Querying and handling huge data. Consolidating information from multiple data sources. Understanding requirements and creating dashboards in Sisense/Periscope (BI Tools). Writing intuitive insights and analysis based on data. Identify and execute analytics...
Required Qualifications Bachelor’s or advanced degree in a relevant field (Computer Science, Operations Research, Statistics, Applied Math…) and relevant experience applying advanced AI techniques to real-world problems. About your previous projects (required): Experience implementing...
Responsibilities Your Impact: Build distributed, real-time, high-volume data & ML pipelines and work together with others to enable high-scale ML applications Work with ML frameworks, Feature Stores, Data pipelines Join a high-performance team solving...
Job Summary As part of the Quantitative research and trading team, the candidate will be responsible for developing and backtesting trading strategies on Indian and International markets. The candidate will work closely with the...
Required Qualifications: Around 2 – 6 years of Data Science experience Experience in R, or Python or Spark (Mlib) Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine,...
Skills : Demonstrated experience with reinforcement learning, distributed computing, and rapid prototyping Experience in developing machine learning modules Good knowledge of applied mathematics, neural network architectureand natural language processing Good in creating documentation and...
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