HPE Freshers Recruitment 2021 | Data Science / AIML Intern | Bangalore
HPE (Hewlett Packard Enterprise) Freshers Recruitment 2021 in Bangalore For Data Science/AIML Intern Position. BE, BTech Graduates 2021 are eligible to apply for this job. More details regarding HPE Bangalore Freshers Job Openings 2021 is given below.
Latest Off Campus Drives Across India: April 2024
Company | Location | Position | Apply Link |
---|---|---|---|
Today Walkins | Across India | Multiple Positions | Check Here |
Top MNCs | Across India | Internships | Apply Here |
HashedIn by Deloitte | Across India | Software Engineer | Apply Here |
Accenture | Across India | App Development Associate (2023, 2024 Batch) | Apply Here |
Accenture | Across India | System and Application Services Associate (2023, 2024 Batch) | Apply Here |
TCS | Across India | Trainee (2024 Batch) | Apply Here |
TCS BPS | Across India | Trainee (2024 Batch) | Apply Here |
Amazon | Across India | Multiple Positions | Apply Here |
Accenture | Across India | Multiple Positions | Apply Here |
Wipro | Across India | Multiple Positions | Apply Here |
Cognizant | Across India | Multiple Positions | Apply Here |
Infosys | Across India | Multiple Positions | Apply Here |
Genpact | Across India | Multiple Positions | Apply Here |
Company Name: HPE (Hewlett Packard Enterprise)
Job Location: Bangalore
Job Category: IT | Software
Job Position: Data Science / AIML Intern
Experience: Freshers
Qualification: BE, BTech
Year of Passing: 2021 Batch
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.
Eligibility Criteria:
- Education: 10th + 12th + BE/BTech.
- Streams: Electronics & Communication, EEE, Computer Science, Information Technology (2021 Batch).
- Percentage: 10th + 12th + BE/BTech marks/aggregate to be 60% and above with no arrears.
Job Responsibilities:
- 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.
Desired Skills:
- 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.