1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 6.50 LPA
Job PurposeWe are seeking a dynamic and motivated Sales Engineer with 2-5 years of experience in the Coal, Mines, Steel sectors. The ideal candidate will possess a strong background in mechanicalengineering and a proven track record in sales. This role requires a combination of technical expertise and sales acumen to effectively support our ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Job PurposeWe are seeking a dynamic and motivated Sales Engineer with 2-5 years of experience in the Steel, Mines, Cement industries. The ideal candidate will possess a strong backgroundin mechanical engineering and a proven track record in sales. This role requires a combination of technical expertise and sales acumen to effectively support our ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
30.00 LPA TO 30.00 LPA
Job Description Summary
The role provides oversight on the operational management regarding the compliance of HR legal and regulatory standards within the HR Operations team, managing the delivery of payroll, HR systems, employee services, vendor management and employee insight. Focusing on pay, employment tax, and time and attendance laws and regulations ...
3 Opening(s)
2.0 Year(s) To 13.0 Year(s)
7.00 LPA TO 14.00 LPA
Description:
Job Purpose :
"Support to Frontline Retail Sales Team, to guide on Digital Products - viz.. NACH, UPI & Virtual Accounts & assist solution activation.
Build up CASA Balances
Enhance Solution Active customers."
Roles & Responsibilities:
Identify potential clientele for Digital Solutions - NACH, UPI, Virtual Accounts & related API
Knowledge share on digital products ...
4 Opening(s)
3.0 Year(s) To 10.0 Year(s)
7.00 LPA TO 10.00 LPA
Description:
Job Title - Product Sales Manager-Retail CMS
CTC : 12 LPA
Age: 36 Max
Job Purpose :
"Support to Frontline Retail Sales Team, to guide on Digital Products - viz.. NACH, UPI & Virtual Accounts & assist solution activation.
Build up CASA Balances
Enhance Solution Active customers."
Roles & Responsibilities:
Identify potential clientele for Digital Solutions - NACH, UPI, Virtual ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
5.00 LPA TO 7.00 LPA
Job Title - Product Sales Manager-Retail CMS
CTC : 12 LPA
Age: 36 Max
Job Purpose :
"Support to Frontline Retail Sales Team, to guide on Digital Products - viz.. NACH, UPI & Virtual Accounts & assist solution activation.
Build up CASA Balances
Enhance Solution Active customers."
Roles & Responsibilities:
Identify potential clientele for Digital Solutions - NACH, UPI, Virtual ...
3 Opening(s)
3.0 Year(s) To 13.0 Year(s)
7.00 LPA TO 14.00 LPA
Job Purpose :
"Support to Frontline Retail Sales Team, to guide on Digital Products - viz.. NACH, UPI & Virtual Accounts & assist solution activation.
Build up CASA Balances
Enhance Solution Active customers."
Roles & Responsibilities:
Identify potential clientele for Digital Solutions - NACH, UPI, Virtual Accounts & related API
Knowledge share on digital products ...
1 Opening(s)
5.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
JD:
SharePoint along with .Net experience
Great Communication skills
Support requests from business users for SharePoint, Power Automate, Power Apps, Forms and Teams solutions
Product development support.
Build custom SharePoint solutions, Power Platform solutions, SPFx webparts, Subscription Edition (SE)
Govern, manage the administer configuration and security of SharePoint environment.
Maintain governance jobs, flows, reports for all Office ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
The key responsibilities incudes:• Be responsible for the planning, implementation, and growth of the AWS cloud infrastructure• Understand the current AWS infrastructure and suggest changes to it. & Develop and advocate forOperations best practices, standards, and processes• Define and document best practices and strategies regarding Infrastructure deployment and maintenance.• Build, ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...