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Senior AI/ML Data Scientist (LLMs/GenAI, Cloud-Native)

Take2 Consulting, LLC United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Take2 Consulting, LLC seeks a Senior Data Scientist with 7+ years of AI/ML and NLP experience. This fully remote role focuses on building LLM/GenAI prototypes and emerging tech solutions. Requires cloud-native expertise and the ability to obtain a Public Trust clearance.

Key Highlights
7+ years of experience in AI/ML, NLP, and data modeling.
Focus on building prototypes and emerging technology solutions, especially LLMs and GenAI.
Must be able to obtain and maintain a Public Trust clearance.
Fully remote position within the continental United States.
Requires continuous U.S. residency for the last 2 years.
Technical Skills Required
Python R SQL Java GenAI LLMs PyTorch ML frameworks NLP frameworks AWS Azure GCP Hadoop Hive Databricks Terraform GitLab CI/CD Docker Git Power BI Tableau
Benefits & Perks
Fully remote
Work from anywhere in the continental US
Public Trust clearance sponsorship/support

Job Description


We are seeking an innovative, hands-on Data Scientist with 7+ years of experience in AI/ML, NLP, data modeling, and cloud engineering. This role focuses on building prototypes and emerging technology solutions—especially LLMs and GenAI—that solve complex business problems in cloud-native environments.

This position is fully remote and can be performed from anywhere within the continental United States.


Required Qualifications

  • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related field; additional experience may substitute.
  • 7+ years of experience in data science, analytics, machine learning, NLP, AI, or related fields.
  • Proven track record delivering AI/ML/NLP solutions in cloud-native environments (AWS, Azure, GCP).
  • Ability to obtain and maintain a Public Trust clearance (USPTO requirements).
  • Must have lived in the U.S. continuously for the last 2 years.
  • Strong communication, collaboration, and presentation skills.


Technical Skills

  • Programming: Python, R, SQL, Java
  • AI/ML/LLM Tools: GenAI, LLMs, PyTorch, ML/NLP frameworks
  • Cloud: AWS (S3, SageMaker, Redshift), Azure, GCP
  • Big Data: Hadoop, Hive
  • Platforms: Databricks
  • DevSecOps: Terraform, GitLab pipelines, Docker, Git
  • Visualization: Power BI, Tableau
  • Data Manipulation, EDA, and Statistical Modeling


Preferred Qualifications (Nice-to-Have)

  • Experience with MLOps, model monitoring, and deployment pipelines.
  • Experience in NLP, deep learning, or computer vision.
  • Familiarity with automating DevSecOps pipelines and secure model operations.


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