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Senior Data Scientist - GenAI, RAG

Constel Global India Global Private LimitedHouston, TX🇺🇸United StatesPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Houston, TX, United States
Posted
19 hours ago
AWSMachine LearningSnowflakeAzureDatabricksGenerative AILLM

Job Description

We are looking for a Senior Data Scientist with strong hands-on experience across Traditional Machine Learning, Generative AI, LLMs, RAG, and Agentic AI.
The ideal candidate will have 5–7 years of relevant experience, recent and continuous hands-on GenAI experience, and a proven track record of deploying AI/ML solutions into production environments. Strong client-facing communication and consulting experience are essential, as the candidate will need to explain technical architecture, decisions, and trade-offs to both technical and non-technical stakeholders.
Position: Senior Data Scientist
Location: Houston, TX
Job Type: Full-Time
Interview: In-person interview required at the Santa Clara, CA office
Relocation: Relocation assistance is available for qualified candidates
Work Authorization: / / H-1B Transfer
 
Must-Have Skills & Experience
  • 5–7 years of relevant Data Science / Machine Learning experience.
  • Strong traditional Machine Learning/Data Science background, including:
    • Classification
    • Regression
    • Forecasting
    • Anomaly detection
    • Feature engineering
    • Model evaluation and optimization
  • 12+ months of continuous and recent hands-on GenAI/LLM experience.
  • Strong production experience with Agentic AI, including:
    • LangGraph
    • LangChain
    • MCP
    • Tool calling
    • Agent orchestration
  • Hands-on production Agentic AI experience is mandatory — candidates whose experience is limited to POCs, hackathons, certifications, or experimentation will not be considered.
  • Strong depth in RAG implementations, including:
    • Vector databases
    • Hybrid retrieval
    • Reranking
    • Knowledge graphs
  • Hands-on experience with AWS Bedrock.
    • Azure OpenAI or Google Vertex AI can be considered as alternatives, but candidates must have meaningful enterprise GenAI cloud experience.
  • Proven experience deploying and supporting AI/ML systems in production.
  • Strong understanding of LLM application architecture and enterprise AI implementation.
  • Excellent client-facing and consulting communication skills.
  • Ability to explain architecture decisions, technical trade-offs, and AI/ML solutions to non-technical stakeholders.
  • Willingness and ability to attend an in-person interview in Santa Clara, CA.
Nice-to-Have Skills
  • Experience in the Energy / Utilities / Oil & Gas / Natural Resources domain.
  • Experience with Databricks and/or Snowflake.
  • Experience with ML frameworks such as XGBoost or CatBoost.
  • Experience with LLMOps, AI evaluation frameworks, and GenAI observability/evaluation tooling.
  • Experience working with enterprise products and customer-facing consulting engagements.

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