Hewlett Packard Enterprise Recruitment 2021 | Freshers | AIML Intern | BE/ B.Tech – CSE/ IT/ ECE/ EEE | 2021 Batch | Bangalore

 Company: Hewlett Packard Enterprise

Hewlett Packard Enterprise Recruitment 2021 : HP is the world’s largest provider of information technology infrastructure, software, services, and solutions to individuals and organizations of all sizes. Ranked 10 on the Fortune 500 list for 2012, HP brings together a portfolio to serve more than 1 billion customers in over 170 countries on six continents.

Hewlett Packard Enterprise is an industry leading technology company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

Company Website: www.hpe.com

Positions: AIML Intern

Job Location: Bangalore

Salary: Best in Industry

Experience: Freshers

Education: 

• Education: 10th + 12th + B.E/B.Tech
• Streams-Electronics & Communication, EEE, Computer Science, Information Technology ( 2021 batch)
• Percentage: 10th + 12th + B.E/B.Tech marks/aggregate to be 60% and above with no arrears

Job description:

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Requirements:

• Strong problem solving skills with an emphasis on product development.
• Knowledge of using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• Knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Application Link: Click Here & www.tinyurl.com/gjust-drive-open