Duration:
10-month contract (W2, not eligible for C2C) Pay:
$37-42/hr We are seeking an AI/ML Engineer with strong Salesforce experience to design, build, and integrate artificial intelligence and machine learning solutions within a Salesforce ecosystem. This role focuses on developing, deploying, and optimizing AI-driven capabilities that enhance platform functionality, automate processes, and deliver measurable business outcomes. Key Responsibilities
AI/ML Development & Implementation
Design, develop, and deploy AI/ML models and solutions integrated with Salesforce Implement predictive analytics, intelligent automation, and advanced insights using Salesforce-native AI capabilities and external ML frameworks Build, optimize, and maintain machine learning pipelines for Salesforce data processing and analytics Integrate third-party AI services, APIs, and tools with Salesforce applications Salesforce Platform Engineering
Develop custom AI-enabled components using Apex, Lightning Web Components (LWC), and Salesforce APIs Configure and customize Salesforce AI features, including prediction models, recommendations, and analytics Design scalable and efficient data models to support AI/ML workloads within Salesforce architecture Implement automated testing strategies for AI-enhanced Salesforce solutions Partner with business stakeholders, architects, and engineering teams to identify and prioritize AI use cases Translate business requirements into scalable, AI-driven technical solutions Participate in code reviews, technical discussions, and knowledge-sharing initiatives Stay current with advancements in AI/ML technologies and Salesforce platform capabilities Quality, Performance & Governance
Monitor, evaluate, and optimize AI model performance, accuracy, and efficiency Ensure solutions adhere to security, compliance, and data governance standards Document technical designs, model architectures, and implementation approaches Troubleshoot and resolve AI/ML-related issues in production environments Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field 5+ years of professional experience in software development, AI/ML, or related roles Hands-on experience with the Salesforce platform (development, configuration, or administration) Proficiency in Python, R, or similar languages for AI/ML development Solid understanding of machine learning algorithms, neural networks, and statistical modeling Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn Familiarity with Salesforce development tools including Apex, Lightning Web Components, SOQL, and REST/SOAP APIs Preferred Qualifications
Salesforce certifications (e.g., Platform Developer I/II, AI-focused certifications) Experience with Salesforce AI and analytics features such as prediction models, bots, or advanced analytics tools Knowledge of cloud platforms and AI services (AWS, Azure, or GCP) Experience with CI/CD pipelines and DevOps practices for AI/ML deployments Exposure to specialized AI domains such as natural language processing or computer vision Experience working in Agile or Scrum environments Core Competencies
Strong analytical thinking and problem-solving skills Excellent communication and cross-functional collaboration abilities Self-driven with a continuous learning mindset Adaptable to evolving technologies and changing business needs Detail-oriented with a strong commitment to quality, scalability, and innovation
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10-month contract (W2, not eligible for C2C) Pay:
$37-42/hr We are seeking an AI/ML Engineer with strong Salesforce experience to design, build, and integrate artificial intelligence and machine learning solutions within a Salesforce ecosystem. This role focuses on developing, deploying, and optimizing AI-driven capabilities that enhance platform functionality, automate processes, and deliver measurable business outcomes. Key Responsibilities
AI/ML Development & Implementation
Design, develop, and deploy AI/ML models and solutions integrated with Salesforce Implement predictive analytics, intelligent automation, and advanced insights using Salesforce-native AI capabilities and external ML frameworks Build, optimize, and maintain machine learning pipelines for Salesforce data processing and analytics Integrate third-party AI services, APIs, and tools with Salesforce applications Salesforce Platform Engineering
Develop custom AI-enabled components using Apex, Lightning Web Components (LWC), and Salesforce APIs Configure and customize Salesforce AI features, including prediction models, recommendations, and analytics Design scalable and efficient data models to support AI/ML workloads within Salesforce architecture Implement automated testing strategies for AI-enhanced Salesforce solutions Partner with business stakeholders, architects, and engineering teams to identify and prioritize AI use cases Translate business requirements into scalable, AI-driven technical solutions Participate in code reviews, technical discussions, and knowledge-sharing initiatives Stay current with advancements in AI/ML technologies and Salesforce platform capabilities Quality, Performance & Governance
Monitor, evaluate, and optimize AI model performance, accuracy, and efficiency Ensure solutions adhere to security, compliance, and data governance standards Document technical designs, model architectures, and implementation approaches Troubleshoot and resolve AI/ML-related issues in production environments Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field 5+ years of professional experience in software development, AI/ML, or related roles Hands-on experience with the Salesforce platform (development, configuration, or administration) Proficiency in Python, R, or similar languages for AI/ML development Solid understanding of machine learning algorithms, neural networks, and statistical modeling Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn Familiarity with Salesforce development tools including Apex, Lightning Web Components, SOQL, and REST/SOAP APIs Preferred Qualifications
Salesforce certifications (e.g., Platform Developer I/II, AI-focused certifications) Experience with Salesforce AI and analytics features such as prediction models, bots, or advanced analytics tools Knowledge of cloud platforms and AI services (AWS, Azure, or GCP) Experience with CI/CD pipelines and DevOps practices for AI/ML deployments Exposure to specialized AI domains such as natural language processing or computer vision Experience working in Agile or Scrum environments Core Competencies
Strong analytical thinking and problem-solving skills Excellent communication and cross-functional collaboration abilities Self-driven with a continuous learning mindset Adaptable to evolving technologies and changing business needs Detail-oriented with a strong commitment to quality, scalability, and innovation
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