Salesforce Engineer (AI/ML)
Juno Beach, FL (100% on-site)
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
Collaboration & Innovation
- 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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