Data Scientist w Generative AI (AWS Bedrock)

Overview

Hybrid
$100 - $120
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Use Cases
Machine Learning (ML)
Amazon Bedrock
Claude
Titan
Mistral
LLaMA
RAG
GenAI workloads
chatbots
summarization
model evaluation
GenAI pipelines
Amazon S3
Python
Natural Language Processing

Job Details

NOTE: we do not work with H1-b visas at this time.

 

Data Scientist w Generative AI (with AI, ML, and LLM not ML Ops)

3 days each week onsite

Location is Seattle, WA

Target rate: $100-$120/hr. DOE, all-inclusive

Start is immediate

Duration is twelve months, will extend

 

 

This is a backfill role. Personality, personality, personality must be amazing.

We cannot work with dry people and/or indifferent people.

We need excited, enthusiastic, go getters!

Updated JD + orig one below:

Job Title: Data Scientist/Applied Scientist


Job Description:

We are seeking an experienced Data Scientist/Applied Scientist to develop and implement cutting-edge machine learning solutions for our travel and events platform. This role will focus on building scalable AI-driven solutions to enhance customer experience and drive business value.


Key Responsibilities:

  • Design and implement advanced machine learning models and algorithms to solve complex business problems
  • Build and optimize large-scale natural language processing solutions
  • Create efficient data pipelines and scalable architectures for AI applications
  • Cross-functional Collaboration: Work closely with various teams including Travel Operations, Supplier Category Teams, and Travel Technology team to support data-driven decision making and improve business processes.


Required Qualifications:

  • Master's in Computer Science, Machine Learning, or related field
  • 7+ years of experience in applied machine learning and deep learning
  • Strong expertise in Python and ML frameworks
  • Extensive experience with Large Language Models and transformer architectures
  • Proven track record of deploying ML models to production
  • Strong proficiency with AWS services (Bedrock, SageMaker, Lambda, ECS, S3)
  • Experience with MLOps practices and tools


Preferred Qualifications:

  • Experience with RAG (Retrieval Augmented Generation) architectures
  • Knowledge of vector databases and semantic search
  • Expertise in prompt engineering and fine-tuning language models
  • Experience with containerization and microservices architecture
  • Background in travel industry or related domains
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders


We're looking for candidates who are passionate about AI innovation and have a proven

track record of delivering production-ready machine learning solutions

--------------------------

Original JD:

 

    • Build and deploy Generative AI solutions using Amazon Bedrock, SageMaker, and other AWS AI/ML services.
    • Evaluate and integrate foundation models (Claude, Titan, Mistral, LLaMA, etc.) available in Bedrock for enterprise use cases (chatbots, summarization, RAG, etc.).
    • Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
    • Work on GenAI pipelines: data preprocessing, prompt tuning, retrieval augmentation (RAG), and model evaluation.
    • Optimize cost and performance of GenAI workloads in the AWS ecosystem.
    • Collaborate with product and data teams to design AI-driven applications.

 

NOTE: we do not work with H1-b visas at this time.

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.