AI/ML Developer

Job Title: AI/ML Builder – Salesforce + Generative AI

Experience:

Location:

Work Timings:

Employment Type:

Job Summary:

AI/ML Builder

Key Responsibilities:

Salesforce Development & Customization

• Design, develop, test, and deploy scalable Salesforce solutions.
• Extend Salesforce functionality using

  Apex (triggers/classes), LWC, Aura, Visualforce, and Salesforce APIs

  .
• Build high-performance and secure applications with robust documentation.

AI/ML Development & Integration

• Develop, train, and deploy AI/ML models for predictions, automation, scoring, and forecasting.
• Integrate AI/ML models into Salesforce using

  Einstein/Einstein GPT

  and external services (Python models, AWS/Azure ML services).
• Design and optimize

  RAG pipelines

  leveraging LLMs and vector databases.
• Build

  Einstein Bots

  and custom GenAI-driven conversational bots.

Architecture, DevOps & Performance

• Manage CI/CD processes using Git and modern deployment tools.
• Ensure scalability, reliability, and performance of AI/ML pipelines.
• Implement best practices for data governance, security, and compliance.
• Monitor model performance, conduct fine-tuning, and maintain feedback loops.

Collaboration & Innovation

• Work with product, engineering, and data teams to identify AI-driven optimization opportunities.
• Stay updated with emerging Generative AI technologies (LLMs, transformers, enterprise AI tools).

Must-Have Skills:

• Bachelor’s degree in CS, IT, Statistics, or related field.

• 5–7 years of experience in AI/ML development and Salesforce custom development.

• Strong experience with

  Einstein, Einstein GPT

  , Python-based ML models, and cloud AI services (Azure/AWS).
• Solid understanding of

  LLMs, transformers, RAG, and vector databases

  .
• Hands-on expertise with

  Apex, LWC, Aura, Salesforce APIs

  , and automation frameworks.
• Strong analytical, problem-solving, and cross-functional collaboration skills.

Good to Have:

• Salesforce Certifications: AI Associate, Admin, Platform Developer.
• Knowledge of

  MLOps tools

  (SageMaker, Azure ML, GCP AI Platform).
• Experience with DevOps tools:

  Copado, Azure DevOps, GitLab, Jenkins

  .
• Experience building

  conversational AI

  or

  multi-agent workflow

  pipelines