KPG99 INC
Data Scientist – AI/ML Focus //W2 ONLY
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – AI/ML Focus on a 6-month contract, onsite in Houston, TX. Key skills include Snowflake, SQL, AI/ML frameworks, and cloud experience with AWS. Proficiency in Python and Git is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #Automation #Data Engineering #Deep Learning #TensorFlow #Python #Predictive Modeling #SageMaker #SQL (Structured Query Language) #AWS (Amazon Web Services) #Hugging Face #GIT #SQL Queries #ML (Machine Learning) #Version Control #AWS SageMaker #NLP (Natural Language Processing) #Redshift #PyTorch #BERT #Cloud #Data Science #Programming #Langchain #Snowflake
Role description
Job Title: Data Scientist – AI/ML Focus
(Contract) 6 MONTHS WITH EXT
Worksite: Onsite mandatory Mon-Thur – Houston, TX
Must Have: Snowflake, SQL, Palantir
Technical Skills:
• AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
• Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
• Cloud & MLOps: Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
• Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.
Job Title: Data Scientist – AI/ML Focus
(Contract) 6 MONTHS WITH EXT
Worksite: Onsite mandatory Mon-Thur – Houston, TX
Must Have: Snowflake, SQL, Palantir
Technical Skills:
• AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
• Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
• Cloud & MLOps: Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
• Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.
