Associate Staff Engineer, CRM Salesforce (Salesforce Einstein)

Others - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

REQUIREMENTS:

Total Experience 4 years
Strong experience in Salesforce development with Salesforce Einstein AI including Prediction Builder and Einstein Discovery.
Experience implementing Flows Einstein Bots and AI-driven automation.
Strong knowledge of Sales Cloud and Service Cloud; exposure to Marketing Cloud is a plus.
Solid understanding of data modeling predictive analytics and machine learning concepts within Salesforce.
Proficiency in Apex Lightning Web Components (LWC) SOQL and Salesforce automation tools.
Ability to integrate Einstein insights into Salesforce UI and business processes.
Strong analytical problem-solving and communication skills.
Experience working in Agile/Scrum environments.

RESPONSIBILITIES:

Writing and reviewing great quality code.
Design and implement Salesforce Einstein AI solutions including Einstein Prediction Builder Einstein Discovery Models and Einstein Recommendations.
Develop and optimize Einstein AI capabilities integrated with Sales Cloud Service Cloud Marketing Cloud and custom Salesforce applications.
Work with business stakeholders to identify AI-driven use cases and translate them into scalable Salesforce solutions.
Configure datasets define target variables and refine prediction accuracy for Einstein models
Implement AI-assisted workflows Next Best Action (NBA) strategies and intelligent automation using Einstein Bots Salesforce Flows and Orchestration.
Embed Einstein insights into Salesforce user experiences using Lightning Web Components (LWC) Apex and Lightning components.
Collaborate with data and analytics teams to ensure data quality feature readiness and model reliability
Perform model testing monitoring performance tuning and version management
Create technical documentation best practices and support enablement for internal teams
Collaborate with cross-functional teams including Sales Service Marketing Analytics and Product to drive AI adoption

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

REQUIREMENTS:Total Experience 4 yearsStrong experience in Salesforce development with Salesforce Einstein AI including Prediction Builder and Einstein Discovery.Experience implementing Flows Einstein Bots and AI-driven automation.Strong knowledge of Sales Cloud and Service Cloud; exposure to Marketi...

REQUIREMENTS:

Total Experience 4 years
Strong experience in Salesforce development with Salesforce Einstein AI including Prediction Builder and Einstein Discovery.
Experience implementing Flows Einstein Bots and AI-driven automation.
Strong knowledge of Sales Cloud and Service Cloud; exposure to Marketing Cloud is a plus.
Solid understanding of data modeling predictive analytics and machine learning concepts within Salesforce.
Proficiency in Apex Lightning Web Components (LWC) SOQL and Salesforce automation tools.
Ability to integrate Einstein insights into Salesforce UI and business processes.
Strong analytical problem-solving and communication skills.
Experience working in Agile/Scrum environments.

RESPONSIBILITIES:

Writing and reviewing great quality code.
Design and implement Salesforce Einstein AI solutions including Einstein Prediction Builder Einstein Discovery Models and Einstein Recommendations.
Develop and optimize Einstein AI capabilities integrated with Sales Cloud Service Cloud Marketing Cloud and custom Salesforce applications.
Work with business stakeholders to identify AI-driven use cases and translate them into scalable Salesforce solutions.
Configure datasets define target variables and refine prediction accuracy for Einstein models
Implement AI-assisted workflows Next Best Action (NBA) strategies and intelligent automation using Einstein Bots Salesforce Flows and Orchestration.
Embed Einstein insights into Salesforce user experiences using Lightning Web Components (LWC) Apex and Lightning components.
Collaborate with data and analytics teams to ensure data quality feature readiness and model reliability
Perform model testing monitoring performance tuning and version management
Create technical documentation best practices and support enablement for internal teams
Collaborate with cross-functional teams including Sales Service Marketing Analytics and Product to drive AI adoption

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Computer Science
Docker
Kubernetes
Python
VMware
C/C++
Go
System Architecture
gRPC
OS Kernels
Perl
Distributed Systems

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About Company

Nagarro

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more

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