🚀 Hiring: Senior Data Scientist – GenAI / RAG | Houston, TX (Onsite)

📍 Location: Houston, Texas (5 Days Onsite)

💼 Employment Type: Full-Time (FTE)

💰 Salary: Up to $140,000/Year (Negotiable)

Looking for an experienced Senior Data Scientist – GenAI/RAG to join our Enterprise Products team. If you're passionate about building enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern Machine Learning techniques, this is an excellent opportunity to work on cutting-edge AI products while collaborating directly with customers and business stakeholders.

Key Responsibilities

Design, build, and deploy enterprise-grade RAG (Retrieval-Augmented Generation) solutions.
Develop AI-powered chat interfaces and GenAI applications.
Build and optimize Machine Learning and Deep Learning models.
Collaborate closely with client Data Science teams across ML/DL ecosystems.
Develop enterprise knowledge management solutions using LLMs.
Work directly with customers to understand business problems and deliver AI-driven solutions.
Analyze large datasets to generate actionable business insights.
Mentor junior team members and contribute to AI best practices.

Mandatory Skills

Strong experience in Machine Learning (ML) and Deep Learning (DL).
Hands-on experience with Generative AI, LLMs, and RAG architectures.
Experience with Claude/Anthropic or similar GenAI platforms.
Strong Python programming skills.
Experience with TensorFlow, PyTorch, or Scikit-learn.
Strong SQL and data analysis skills.
Excellent communication and client-facing experience.

Good to Have

Exposure to Agentic AI and AI Agent frameworks/APIs.
Oil & Gas or Energy domain experience.
AWS, Snowflake, Spark, Hadoop, Tableau, or Power BI experience.

Preferred Qualifications

Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
Experience building production-grade AI/ML applications.

Interview Process

3 Internal Technical Interview Rounds.
1 Mandatory Face-to-Face Interview.
No Client Interview (currently).

Visa Eligibility

U.S. Citizens, Green Card Holders, H4 EAD, L2 EAD

Information Required for CV Submission

Please share the following details along with your updated resume:

Full Name
Current Location
Contact Number
Email ID
Total IT Experience
Relevant GenAI/RAG Experience
Current Employer
Current Annual Compensation
Expected Annual Compensation
Earliest Joining Date / Notice Period
Work Authorization / Visa Status
Willingness to work 5 days onsite in Houston, TX (Yes/No)
LinkedIn Profile (if available)

📩 Interested candidates, please share your updated resume along with the above details for faster processing.

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