Collabera

Principal Data Scientist – Generative AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Scientist – Generative AI, offering a contract of unspecified length at a pay rate of $80.00 - $85.00/hr. Key skills include a PhD, 10+ years in AI/ML, and strong expertise in Generative AI and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Deployment #AI (Artificial Intelligence) #Jupyter #Cybersecurity #Programming #"ETL (Extract #Transform #Load)" #Python #Data Ingestion #Migration #Kubernetes #AWS (Amazon Web Services) #MLflow #AWS SageMaker #Computer Science #ML (Machine Learning) #Databases #Cloud #Data Science #SageMaker #Security
Role description
We are seeking a Principal Data Scientist with deep expertise in Generative AI (GenAI) to design and develop advanced AI-driven solutions. This is a hands-on role focused on building AI agents, RAG systems, and GenAI applications to solve complex enterprise problems. Key Responsibilities • Design and develop AI Agents and Agentic Workflows • Build and implement RAG and Graph RAG architectures • Develop and optimize LLM-based solutions (prompt engineering, fine-tuning) • Implement semantic search and embedding-based retrieval systems • Work with vector databases and knowledge bases • Build solutions using Python (Jupyter, SageMaker, ML frameworks) • Collaborate with cross-functional teams to transition solutions into production • Establish evaluation frameworks, guardrails, and responsible AI practices • Develop data ingestion pipelines (chunking, enrichment, anonymization) Required Qualifications • PhD in AI, Data Science, Computer Science, or related field (MANDATORY) • 10+ years of AI/ML experience, including 3+ years in GenAI/LLMs • Strong hands-on experience with: • RAG (Retrieval-Augmented Generation) • Large Language Models (LLMs) • Prompt Engineering & Embeddings • Strong programming skills in Python • Experience with Jupyter Notebooks / ML environments • Understanding of SDLC and production deployment lifecycle • Experience with vector databases and semantic search Preferred Qualifications • Experience with Graph RAG • Experience building AI Agents / Agentic Systems • Familiarity with: • MCP (Model Context Protocol) • A2A (Agent-to-Agent communication) • Experience deploying GenAI solutions to production • Exposure to AWS (SageMaker, Bedrock, MLFlow, Kubernetes/EKS) Pay Range: $80.00 - $85.00/Hr 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) About Us: Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. With Collabera, you • Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering. • At Collabera you have 80% chances of project extension or redeployment to other clients • Will have endless opportunities to learn new technologies through our inhouse Training arm – Cognixia.