AI/ML Engineer

Key Responsibilities:

• Design, develop, test, document, and deploy Salesforce solutions based on business needs.
• Develop and deploy AI/ML models for real-time decision-making and automation.
• Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.
• Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies (

  Python-based models or Azure/AWS ML services

  ).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.
• Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.
• Create custom AI-powered automation solutions including Einstein Bots and bespoke bots for sales/service processes.
• Manage CI/CD processes with Git to ensure efficient deployment of updates.
• Collaborate with product managers, engineers, and data teams to identify opportunities for impactful AI-driven enhancements in the Salesforce ecosystem.
• Ensure scalability, security/compliance (especially regarding sensitive customer data), reliability and performance of deployed models in production environments.
• Monitor model accuracy and relevance; continuously improve user experience through feedback loops.
• Stay current with advancements in generative AI (including transformers), enterprise-grade integrations/platforms/tools; evaluate applicability to organizational needs.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 4-6 years of hands-on experience in Salesforce development and AI/ML engineering, with a focus on NLP and generative models.
• Strong proficiency in

  Python and ML frameworks

  (e.g., PyTorch, TensorFlow, Hugging Face).
• Proven experience with RAG architectures, vector databases (e.g., FAISS, Pinecone), and large language models (LLMs) such as GPT or LLaMA.
• Demonstrated ability to integrate AI systems with Salesforce CRM using APIs, Apex, or MuleSoft.
• Salesforce ADM 201 and PD1 certifications are required.
• Solid background in Agile methodologies; experience working with distributed/offshore teams is a plus.
• Familiarity with MLOps tools and practices (e.g., MLflow, Docker, Kubernetes).
• Experience establishing and supporting Salesforce Communities (Customer Community).
• Excellent communication skills; strong problem-solving abilities; ability to work both independently and collaboratively within multidisciplinary teams.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, GCP) and scalable AI deployments.
• Knowledge of Salesforce data models, workflows, and automation tools.
• Salesforce App Builder, Salesforce PD2 certification.
• Experience in enterprise domains such as healthcare, finance, or customer service.
• Understanding of data privacy, compliance, and ethical AI principles.