Identity AI / ML Engineer
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Design and develop AI/ML models and solutions within the Salesforce platform
- check_circle Implement predictive analytics, automation, and intelligent features using Salesforce Einstein and external AI frameworks
- check_circle Build and optimize machine learning pipelines for Salesforce data processing and insights generation
- check_circle Integrate third-party AI services and APIs with Salesforce applications
- check_circle Develop custom AI-enabled components using Apex, Lightning Web Components, and Salesforce APIs
- check_circle Configure and customize Salesforce Einstein features including prediction builder, recommendations, and discovery
- check_circle Design scalable data models to support AI/ML workloads within Salesforce architecture
- check_circle Implement automated testing frameworks for AI-enhanced Salesforce solutions
- check_circle Partner with business stakeholders, architects, and developers to identify AI opportunities
- check_circle Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
- check_circle Participate in code reviews, technical discussions, and knowledge-sharing sessions
- check_circle Stay current with emerging AI/ML technologies and Salesforce platform capabilities
- check_circle Monitor and optimize AI model performance, accuracy, and efficiency
- check_circle Ensure solutions meet security, compliance, and data governance standards
- check_circle Document technical designs, model architectures, and implementation approaches
- check_circle Troubleshoot and resolve AI/ML-related issues in production environments
Basic qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- 3+ years of professional experience in software development, AI/ML, or related roles
- Hands-on experience with Salesforce platform (development, configuration, or administration)
- Proficiency in Python, R, or similar languages for AI/ML development
- Understanding of machine learning algorithms, neural networks, and statistical modeling
- Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with Salesforce development tools (Apex, LWC, SOQL, REST/SOAP APIs)
Preferred qualifications
- Salesforce certifications (Platform Developer I/II, AI Specialist)
- Experience with Salesforce Einstein Analytics, Einstein Prediction Builder, or Einstein Bots
- Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and AI services
- Experience with CI/CD pipelines and DevOps practices for AI/ML deployments
- Understanding of NLP, computer vision, or other specialized AI domains
- Agile/Scrum methodology experience
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Self-motivated with continuous learning mindset
- Adaptable to evolving technologies and business needs
- Detail-oriented with commitment to quality and innovation
Tags & Focus Areas
Remote Ai Ai Engineer Machine Learning