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Local to Houston, TX || Data Scientist - AI/ML Focused || USC, GC, GC-EAD only at Houston, Texas, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2272721&uid=

Local to Houston, Texas(
No relo.) and PH.D. background will be ideal.

Data Scientist AI/ML Focus(10+ years)

Location:
Houston, TX (Hybrid Onsite mandatory Mon-Thur) need candidate from Houston within 50 miles
Visa: USC, GC, GC-EAD only
Interview Mode: Video
Duration: long term Contract

What Needed for Submission:

LinkedIn

Local DL

Resume (3 pages, elaborating on projects and business problems faced and how they were overcome)

References with

Name

Email

Phone

Role

Company

LinkedIn URL

Need 10+ years of experience candidate who are good with technical and well as great communication as well.  

We are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact.

This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.

Key Responsibilities:

AI/ML Model Development:
 Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.

Data Analysis & Feature Engineering:
 Collect, process, and analyze structured and unstructured data, engineering relevant features to improve model performance.

Agent-Based & NLP Applications:
 Develop LLM-based AI solutions with a focus on prompt engineering, fine-tuning, and inference optimization.

Business Impact & Decision Support:
 Translate complex data science methodologies into actionable insights, collaborating with stakeholders to drive business value.

End-to-End Model Deployment:
 Work with MLOps best practices to deploy and monitor models in production, ensuring scalability, efficiency, and reliability.

Data Storytelling & Visualization:
 Develop clear, compelling presentations and dashboards to communicate findings to non-technical stakeholders.

Requirements:

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.

Soft Skills:

Curious & Innovative:
 Passionate about solving complex business problems using data and AI.

Ownership & Initiative:
 Proactively drive projects from conception to deployment.

Business Acumen:
 Understand how AI/ML solutions impact business goals and decision-making.

Effective Communication:
 Ability to explain technical models and AI methodologies to non-technical audiences.

Preferred Qualifications:

Graduate degree (Masters or Ph.D.)
 in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics).

Experience with dashboarding tools
 (e.g., Power BI, Dash, Streamlit) for model performance monitoring.

Familiarity with reinforcement learning and AI agent-based applications
.

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Keywords: artificial intelligence machine learning business intelligence sthree information technology green card Texas
Local to Houston, TX || Data Scientist - AI/ML Focused || USC, GC, GC-EAD only
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2272721&uid=
[email protected]
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08:35 PM 20-Mar-25


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Location: Houston, Texas