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Openkyber
AI

Identity AI / ML Engineer

Openkyber · HI, US

Actively hiring Posted 4 months ago

Responsibilities

  • Design and develop AI/ML models and solutions within the Salesforce platform
  • Implement predictive analytics, automation, and intelligent features using Salesforce Einstein and external AI frameworks
  • Build and optimize machine learning pipelines for Salesforce data processing and insights generation
  • Integrate third-party AI services and APIs with Salesforce applications
  • Develop custom AI-enabled components using Apex, Lightning Web Components, and Salesforce APIs
  • Configure and customize Salesforce Einstein features including prediction builder, recommendations, and discovery
  • Design scalable data models to support AI/ML workloads within Salesforce architecture
  • Implement automated testing frameworks for AI-enhanced Salesforce solutions
  • Partner with business stakeholders, architects, and developers to identify AI opportunities
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
  • Participate in code reviews, technical discussions, and knowledge-sharing sessions
  • Stay current with emerging AI/ML technologies and Salesforce platform capabilities
  • Monitor and optimize AI model performance, accuracy, and efficiency
  • Ensure solutions meet security, compliance, and data governance standards
  • Document technical designs, model architectures, and implementation approaches
  • 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

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