1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 35.00 LPA
Required Skills
The ideal candidate will -
Have the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.
Have very good understanding of data structures and algorithms.
Have excellent coding skills in one or more of the following languages: Python, Java, ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
Required SkillsThe ideal candidate willHave the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.Have very good understanding of data structures and algorithms. Have excellent coding skills in one or more of the following languages: Python, Java, ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
8.00 LPA TO 18.00 LPA
Please find JD for Application Architect (1) Position as well as Technical Project Managers (2) for SmartPRA project.
Application Architect (1)
Technical Skillset:
Expert in application design in terms of creating framework to keep maintainability at ease and low-down efforts for future customization.
Complete exposure in building file upload/download frameworks, error/warning framework, Rule engine ...
4 Opening(s)
3.0 Year(s) To 8.0 Year(s)
Not Mentioned TO 8.00 LPA
Job Description
Cloud .NET Developer
Job title
Location
Experience
CTC Budget
Notice Period
Qualification
Cloud .NET Developer
CHENNAI
3-5 Yrs
Immediate / Max. 30 days
B.E / B.Tech/M.Tech/M.Sc
Cloud .NET Developer
Bachelor’s degree, preferably in Computer Science, Software Engineering, or any other Engineering field.
3-5 years programming experience in C# .NET and Entity Framework
2+ years’ experience with C# Linq and SQL Server
Exposure to ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 9.00 LPA
Jon Description
Job title
Location
Experience
Budget
Data Analyst - Python
CHENNAI
3 – 7 Yrs
till 9 lpa
Work Scope:
Use statistical analysis, machine learning, pattern recognition, and data visualization along with domain knowledge and subject-specific models to solve science, engineering, and commercial problems
Solve challenging data science problems by developing novel and/or adapting existing computational methods
Debugging and performance tweaking ...