Ai/Machine Learning Engineer

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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?

• 3+ years deploying AI/Machine Learning applications in production
• Python + AWS experience
• 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).