Overview
On Site
$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12+Month(s)
Skills
AWS
Data Scientist
LLM
AI/ML
Job Details
Position: Data Scientist with Generative AI (AWS)
Location: Seattle, WA (Hybrid, 3 days onsite) (Final in-person meeting)
Duration: 12+ Months
Must have active LinkedIn profile with photo
Experience:- We need someone who is super senior. Like 15+ years of experience.
Job Description:-
Must have:-
- 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.
Key Responsibilities:
- Design, build, and deploy Generative AI solutions using Amazon Bedrock, SageMaker, and other AWS AI/ML services.
- Evaluate, integrate, and fine-tune foundation models (Claude, Titan, Mistral, LLaMA, etc.) for various enterprise use cases, including chatbots, summarization, and retrieval-augmented generation (RAG).
- Perform prompt engineering and LLM fine-tuning for domain-specific applications.
- Develop and manage GenAI pipelines, including data preprocessing, prompt tuning, retrieval augmentation, and model evaluation.
- Optimize cost, latency, and performance of AI workloads within AWS.
- Collaborate closely with data engineers, product managers, and business stakeholders to design and implement AI-driven products and solutions.
- Stay ahead of the curve with emerging technologies in LLMs, GenAI frameworks, and AWS AI services.
Required Qualifications:
- 15+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence.
- Proven, hands-on experience with AWS AI/ML tools, including SageMaker, Bedrock, Lambda, Step Functions, and ECS/EKS.
- Deep understanding of Generative AI models and LLM ecosystems (OpenAI, Anthropic, Meta, Mistral, etc.).
- Strong knowledge of Python, PyTorch/TensorFlow, and ML workflow orchestration.
- Expertise in RAG pipelines, vector databases (FAISS, Pinecone, etc.), and prompt engineering.
- Excellent communication and presentation skills must be able to interface directly with clients and executives.
- Demonstrated leadership and mentoring experience in AI or data teams.
- Must have an active LinkedIn profile with a photo and proof of local Seattle residence.
- Outstanding professional presence and personality - we are looking for someone exceptional in both skill and demeanor.
Interview Mode:-
- One tech round (including 45 60-minute GenAI coding challenge) - teams
- One round with the account manager team 5-10 mins culture fit
- One round with client teams culture fit
- Final meet and greet (not technically an interview) w the buyer onsite, no exceptions
Thanks & Regards
Aman Kumar
VISION INFOTECH INC
Phone: - Ext 301
Email:
368 Main Street, st #3, Melrose MA 02176
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