Why This Role Stands Out
This Senior Data Scientist role at W3Global offers immense growth potential by allowing you to implement cutting-edge GenAI and RAG systems, directly impacting enterprise knowledge solutions. You'll thrive here if you have a strong practical background in traditional ML/DL, hands-on GenAI experience, and enjoy client-facing collaboration. Apply today to join a dynamic team and shape the future of AI applications.
Quick Overview
Job Description
Role: Senior Data Scientist - GenAI / RAG
Location: Houston, TX (Onsite - 5 Days)
Type: Full-Time
Job Description:
We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important.
Key Responsibilities:
Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces
Work closely with client data science teams (ML/DL ecosystems)
Develop GenAI-based enterprise knowledge solutions
Collaborate directly with stakeholders and customers
Mandatory Skills
Strong experience in:
Machine Learning (ML)
Deep Learning (DL):
Hands-on experience with:
Generative AI (LLMs, RAG systems)
Exposure to:
Claude / Anthropic-based development (or similar GenAI tools)
Strong communication & client-facing capability
Good to Have
Basic exposure to: Agentic AI / Agent APIs
Domain experience in: Oil & Gas / Energy sector
Tech Environment: AWS ecosystem, Snowflake (data platform)
Skills
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