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# AI/ML Engineer

- **Company:** Everforth Apex
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Continuous Integration, Data Integration, Database Applications, Query Languages, Expert Systems, Graph Database, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Azure Machine Learning, Software Engineering, SQL Databases, Google Cloud, GitHub Copilot, Generative AI, Kubernetes, Information Technology, Machine Learning Operations
- **Published:** June 22, 2026
- **Apply:** https://www.dice.com/job-detail/a490fcb4-f337-40fd-87ba-209002426db3

## About the Role

* Artificial Intelligence & Expert Systems
 * Machine Learning
 * Data Science and Advanced Analytics
 * Data Modeling
 * Software Development Lifecycle (SDLC), * Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
 * 5+ years of experience in AI/ML, data science, or advanced analytics, delivering production-grade solutions in enterprise environments
 * Strong proficiency in Python and SQL; familiarity with graph query languages (e.g., Cypher)
 * Hands-on experience with MLOps tools and frameworks (e.g., Azure ML, AWS SageMaker, Google Cloud Platform Vertex AI, Kubeflow, MLflow)
 * Strong expertise in cloud platforms (Google Cloud Platform preferred) and data integration architectures
 * Proven ability to design and implement AI-specific SDLC frameworks
 * Strong analytical, problem-solving, and critical thinking skills
 * Excellent communication and stakeholder management capabilities, * Experience leveraging AI tools to improve engineering productivity (e.g., agentic workflows, RAG-based solutions)
 * Background in product engineering and requirements translation for AI implementations
 * Understanding of knowledge graphs, semantic ontologies, and their application to analytics
 * Experience integrating COTS AI solutions into enterprise environments
 * Domain knowledge in supply chain operations, including demand planning, logistics, risk, sustainability, and resilience

Education

 * Required: Bachelor's Degree
 * Preferred: Master's Degree

## Description

* Translate business requirements into AI-driven solutions, including models, algorithms, and applications that solve complex problems, generate recommendations, detect patterns, and make predictions
 * Develop data-driven applications that convert large-scale data into actionable insights through experimentation and advanced analytics
 * Design and implement AI solutions across domains such as NLP, generative AI, image/sensor processing, cognitive automation, and intelligent process automation
 * Optimize and enhance AI models and technologies to improve accuracy, scalability, and efficiency
 * Partner with supply chain and business stakeholders to gather requirements and ensure solutions deliver measurable business value
 * Lead integration and deployment of AI models (internal and COTS) within cloud environments (primarily Google Cloud Platform)
 * Collaborate with Knowledge Graph teams to align AI models with enterprise ontologies and enable advanced graph-based analytics
 * Execute AI model inference using graph data to support supplier risk analysis and material movement optimization
 * Champion AI-driven SDLC practices using tools such as GitHub Copilot, automated PR agents, and AI-generated documentation
 * Design and maintain MLOps pipelines to ensure continuous integration of data and model updates
 * Develop reusable integration patterns and data contracts to support scalability across business units


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