Ai/Machine Learning Engineer

Overview

On Site
$55.0000 - $58.0000
Full Time

Skills

AI/ML
Machine Learning
RAG
SageMaker
Bedrock
Lambda
Automation

Job Details

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

2) Python + AWS experience

3) 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).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.