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Data Scientist - Job Opportunity at Rahe Solutions Inc

Remote, US
Contract
Senior
Posted: March 4, 2025
Remote
USD 70-75 per hour

Key Responsibilities

Design and implement advanced machine learning models and AI systems
Develop and optimize NLP/NLG solutions using cutting-edge technologies
Create and maintain data processing pipelines in cloud environments
Build and deploy AI agents and agentic programming solutions
Implement and fine-tune large language models and vector databases

Requirements

Education

MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred

Experience

3+ years building ML/DL models, 1+ year deep learning, 1+ year NLP/NLG

Required Skills

Python/R programming AWS Sagemaker TensorFlow NLP/NLG Machine Learning Deep Learning SQL Git Docker Data Visualization LLM Experience Cloud Computing
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Sauge AI Market Intelligence

Industry Trends

The role's heavy emphasis on LLMs, RAG, and agentic AI reflects the industry's rapid shift toward generative AI applications Focus on GraphRAG and advanced reasoning frameworks (CoT, ToT) indicates movement toward more sophisticated AI reasoning systems Integration requirements spanning traditional ML and modern LLM technologies suggests a bridging position between established data science and emerging AI capabilities

Salary Evaluation

USD 150,000-180,000 annual equivalent, slightly below market for senior AI roles but typical for contract positions

Role Significance

Likely part of a 5-8 person AI/ML team given the comprehensive skill requirements and project scope
Senior individual contributor role with significant technical autonomy and architectural decision-making authority

Key Projects

Enterprise-scale LLM implementation and fine-tuning Custom AI agent development and deployment Advanced NLP/NLG pipeline development Knowledge graph and semantic search architecture

Success Factors

Deep technical expertise across both traditional ML and modern LLM technologies Ability to bridge theoretical ML concepts with practical business applications Strong system design skills for scalable AI architectures Effective communication skills for cross-functional collaboration

Market Demand

Very High - The combination of traditional ML expertise and cutting-edge LLM knowledge is currently one of the most sought-after skill sets in tech

Important Skills

Critical Skills

LLM expertise (implementation, fine-tuning, and deployment) Advanced ML/DL model development Cloud-based AI infrastructure design NLP/NLG system architecture

Beneficial Skills

Knowledge graph development Semantic search implementation Container orchestration MLOps practices

Unique Aspects

Comprehensive focus on both traditional ML and modern AI technologies
Strong emphasis on advanced reasoning frameworks and AI agents
Significant autonomy in technical decision-making
Broad exposure to cutting-edge AI technologies

Career Growth

2-3 years in role before advancement, accelerated by successful delivery of major AI initiatives

Potential Next Roles

Lead AI Architect Principal Data Scientist AI Technical Director Head of Machine Learning

Company Overview

Rahe Solutions Inc

Technology consulting or solutions provider specializing in enterprise AI implementation

Mid-sized player in the enterprise AI solutions space, likely competing with larger consulting firms
US-based operations with remote-first approach indicating modern organizational structure
Project-based environment with high emphasis on technical excellence and innovation
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