AI/ML Builder – Salesforce + Generative AI

Experience: 5–7 Years

Location: Hybrid (All Locations)

Work Timings: 11:00 AM – 9:00 PM IST

Job Summary

We are seeking a highly skilled AI/ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, scalable, and secure AI-driven Salesforce solutions using Einstein, Einstein GPT, LLMs, and external AI/ML services. The role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom bots to enhance the Salesforce ecosystem.

Key Responsibilities

Salesforce Development & Customization

Design, develop, test, document, and deploy scalable Salesforce solutions aligned with business requirements.

Extend Salesforce functionality using Apex (Triggers/Classes), LWC, Aura, Visualforce, and Salesforce APIs.

Build Salesforce applications with a focus on performance, security, and usability.

AI/ML Development & Integration

Develop, train, and deploy AI/ML models for automation, predictions, scoring, forecasting, and real-time decision-making.

Integrate AI/ML solutions into Salesforce CRM using both native (Einstein/Einstein GPT) and external technologies (Python-based models, Azure/AWS ML services).

Design and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and LLMs for deep contextual insights within Salesforce workflows.

Build custom AI-powered automation solutions, including Einstein Bots and bespoke GenAI-driven bots for sales and service processes.

Architecture, DevOps & Performance

Manage end-to-end CI/CD processes using Git and modern deployment tools.

Ensure production-grade scalability, reliability, and performance of AI/ML pipelines.

Implement best practices for data security, compliance, and governance—especially for sensitive customer data.

Monitor model accuracy, maintain feedback loops, and continuously fine-tune AI systems for improved user experience.

Collaboration & Innovation

Work closely with product managers, engineering teams, and data teams to identify opportunities for AI-driven enhancements.

Stay current with advancements in Generative AI (transformers, LLMs, enterprise tools) and evaluate their applicability to business use cases.

Must-Have Skills

Bachelor’s degree in Computer Science, Information Systems, Statistics, or related field.

5–7 years of experience in Power BI development and implementation (Dashboarding, Analytics, Reporting).

Strong expertise in building and deploying AI/ML models for automation and decision-making.

Deep experience integrating AI/ML capabilities with Salesforce CRM (Einstein, Einstein GPT, Python models, Azure/AWS ML services).

Solid understanding of Generative AI concepts: LLMs, transformers, vector databases, RAG pipelines.

Hands-on experience with Apex, LWC, Aura, Salesforce APIs, and custom automation frameworks.

Strong problem-solving skills, analytical thinking, and the ability to work in cross-functional environments.

Good to Have

Salesforce certifications (AI Associate, Admin, Platform Developer).

Experience with MLOps tools and cloud services (AWS Sagemaker, Azure ML, GCP AI Platform).

Knowledge of DevOps tooling: Copado, Azure DevOps, GitLab, Jenkins.

Experience with building conversational AI or multi-agent workflow pipelines.

Job Types: Full-time, Permanent

Pay: ₹70,000.00 - ₹90,000.00 per month

Benefits:

• Provident Fund

Work Location: In person