Ai/Machine Learning Engineer

Detailed Job Description: Job Title: AI/Machine Learning Engineer Client: Higher Education Location: Stanford, CA 94305 - Hybrid (2-3 day onsite) Duration: 12 Months (Extension/Conversion will be based on the performance) Pay Range: ($55 - $58) hourly Top 3 requirements to hire? 1. 3+ years deploying AI/Machine Learning applications in production 1. Python + AWS experience 1. At least one AWS Associate-level certification Success Metrics: • Timely delivery of scalable, maintainable AI solutions. • High system uptime, performance, and cost-efficiency of deployed workloads. • Consistent adoption of best practices in CI/CD, monitoring, and version control. • Positive stakeholder feedback and contribution to team documentation, learning, and innovation initiatives.ncy Position Overview • We are seeking an AI/Machine Learning Engineer to support enterprise AI transformation initiatives by designing, building, and deploying cloud-native, production-ready AI solutions. • This role focuses on developing intelligent applications—ranging from GenAI and retrieval-augmented systems to data-driven automation workflows—using AWS-native services. • The ideal candidate combines strong machine learning expertise with cloud engineering skills to deliver scalable, secure, and high-impact AI systems. Key Responsibilities • Design and implement end-to-end AI/Machine Learning solutions using GenAI, traditional Machine Learning, and data-driven models. • Build and deploy RAG, multi-agent, and protocol-based AI systems in production environments. • Integrate AI capabilities into applications using serverless and containerized AWS architectures. • Fine-tune, optimize, and monitor models for performance, reliability, and scalability. • Develop and maintain data pipelines for model training, inference, and monitoring. • Architect and manage AI workloads on AWS, ensuring security, compliance, and cost efficiency. • Build APIs, microservices, and CI/CD pipelines to support continuous delivery and observability. • Collaborate with cross-functional teams in an agile environment and contribute to documentation and knowledge sharing. Required Qualifications • Bachelor’s degree in Computer Science, AI/Machine Learning, Data Engineering, or a related field (Master’s preferred). • 3+ years of experience building and deploying AI/Machine Learning applications in production. • 2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD). • Strong experience with both GenAI and traditional Machine Learning techniques in real-world use cases. • Proficiency in Python and experience with modern AI/Machine Learning frameworks. Technical Skills • AI/Machine Learning: PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks • Cloud & Infrastructure: AWS SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, Glue, S3 • DevOps: Docker, Git, CI/CD pipelines, Infrastructure as Code (CloudFormation) • Data: SQL/NoSQL databases, vector databases, AWS data services Preferred Attributes • Strong foundation in data engineering and production-grade AI system design. • Excellent problem-solving, communication, and debugging skills. • Passion for applying AI to improve outcomes and operational efficiency. • Commitment to ethical AI, data privacy, and secure system design. • Ability to thrive in a fast-paced, agile, and continuously evolving environment. Benefits: • The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable).