"Alerted.org

AI/ML Engineer 1464457 * Hourly pay: $60/hr * Worksite: Leading university (Stanford, CA 94305 - Hybrid, Must be onsite 2-3 days on campus) * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 12 Month Assignment, Possible extension or conversion A leading university seeks an AI/ML Engineer. The successful candidate will focus on building and deploying intelligent, cloud-native applications-from GenAI-powered systems and retrieval-augmented assistants to data-driven automation workflows. The company offers a family-oriented culture and environment! AI/ML Engineer Responsibilities: * AI Application & Systems Development: * Own the design and end-to-end implementation of AI systems combining GenAI, narrow AI, and traditional ML models (e.g., regression, classification). * Implement retrieval-augmented generation (RAG), multi-agent, and protocol-based AI systems (e.g., MCP). * Integrate AI capabilities into production-grade applications using serverless and containerized architectures (AWS Lambda, Fargate, ECS). * Fine-tune and optimize existing models for specific educational and administrative use cases, focusing on performance, latency, and reliability. * Build and maintain data pipelines for model training, evaluation, and monitoring using AWS services such as Glue, S3, Step Functions, and Kinesis. * Cloud & Infrastructure Engineering: * Architect and manage scalable AI workloads on AWS, leveraging services such as SageMaker, Bedrock, API Gateway, EventBridge, and IAM-based security. * Build microservices and APIs to integrate AI models into applications and backend systems. * Develop automated CI/CD pipelines ensuring continuous delivery, observability, and monitoring of deployed workloads. AI/ML Engineer Qualifications: * 3+ years of experience developing and deploying AI/ML-driven applications in production. * 2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD, IAM). * Bachelor's degree in Computer Science, AI/ML, Data Engineering, or a related field (Master's preferred). * AWS certification (Solutions Architect, Developer, or equivalent); Professional-level certification. * Proven ability to design, automate, and maintain data pipelines for model inference, evaluation, and monitoring. * Experience with both GenAI and traditional ML techniques in applied, production settings. * Languages: Python (required); familiarity with Go, Rust, R, or TypeScript preferred. * AI/ML Frameworks: PyTorch, TensorFlow, LangChain, LlamaIndex, or similar. * Cloud & Infrastructure: AWS SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, EventBridge, Glue, S3, Step Functions, IAM, CloudWatch. * Infrastructure as Code: AWS CloudFormation. * DevOps & Tools: Git, Docker, AWS Fargate, ECS, CI/CD (GitHub Actions, CodePipeline). * Data Systems: SQL/NoSQL, vector databases, and AWS-native data services. * A strong understanding of data engineering fundamentals and production-quality AI system design is preferred. * A passion for applying AI to enhance educational outcomes and operational efficiency is preferred. * Excellent problem-solving, debugging, and communication skills are preferred. * Demonstrated ability to learn rapidly, adapt to new technologies, and continuously improve is preferred. * Commitment to ethical AI, data privacy, and transparency is preferred. * A collaborative mindset with proven success in agile, team-based environments is preferred. Shift: * Monday to Friday 9 am - 6 pm.