AI/ML Engineer (hybrid, minimal travel)
About The Position
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process. The position is hybrid and based in Miami with on-site expectations Monday through Thursday. There is minimal travel. Only candidates able to relocate as required should apply to avoid removal from future consideration. Work with one of the largest global vacation and cruise providers and a recognizable brand. Be a part of a diverse multicultural team and thrive in a fun and inclusive work environment dedicated to providing memorable and affordable vacations. Work with the leader in cutting-edge technology and programming. Be certain in your future as our Client is a stable and growing company with increasing revenue. Receive plenty of coaching and support from the team and current Vitaver consultants.
Requirements
- Availability to work Monday through Thursday at the Client's site in Miami, FL (required)
- Experience in AI/ML engineering, data science, or a related software engineering discipline (5+ years)
- Experience building, deploying, and monitoring production AI or ML systems, including multi-agent system design and orchestration at scale
- Experience with cloud-based AI platforms
- Experience with Snowflake technical stack, including Cortex, Snowpark, data sharing, and S3-based data export patterns
- Experience with Amazon Bedrock, AWS SageMaker, and ECS for AI/ML workloads
- Experience with agentic frameworks such as Snowflake Intelligence, LangGraph, LangChain, AutoGen, or CrewAI
- Experience with Python, including ML libraries and API development
- Experience with LLM orchestration, prompt engineering, and RAG patterns
- Experience with CI/CD pipelines and MLOps best practices
- Experience with responsible AI principles, model governance, and data privacy standards
- Bachelor's degree in Computer Science, Data Science, or a related field
Nice To Haves
- AWS certification (ML Specialty, Solutions Architect, or Developer) is a plus
- Experience in a corporate or enterprise environment
- Master's degree in Machine Learning, AI, Computer Science, or Statistics
Responsibilities
- Design, develop, deploy, and monitor AI solutions, primarily within Snowflake using Cortex and Snowpark capabilities
- Ingest business requirements and translate process flows into production-ready AI use cases
- Support and monitor an existing AWS ECS container-based AI project as it continues to evolve
- Build and scale production-grade AI products, multi-agent systems, machine learning models, and enterprise automation solutions
- Own the full lifecycle of AI solutions, from concept and experimentation through production deployment and optimization
- Help shape a growing AI engineering function from the ground up, influencing architecture, technology standards, and deployment patterns
- Collaborate closely with data, analytics, and business leaders to translate business challenges into scalable AI solutions
Benefits
- Get paid on a bi-weekly basis
- During the 1st year of employment – prorated amount of PTO and Sick Time.
- After – 14 days of PTO annually and 10 days of sick time annually
- Eight paid holidays & Floating Holiday annually
- Maternity Leave – Up to 10 Weeks Paid
- Parental/Adoption Leave – up to 4 weeks paid
- Available health, dental, vision plans
- Expanded Employee Assistance Program (EAP) – 5 free counseling sessions per person, per year + unlimited 24/7 assistance
- Flexible spending account
- 401K retirement savings plan
- Employee Stock Purchase plan
- Short and long-term disability plan
- Cruise benefits Discount and complimentary memberships (various complimentary memberships, discount
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
