Delphi-US
Job Title: Data Scientist - AI/ML Focus (Contract) - Job#5459
Worksite:
Hybrid Onsite mandator Mon-Thur - Houston, TX
Overview: 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 (Master's 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 . This role is ideal for a
Data Scientist
who wants to work at the
cutting edge of AI and ML , leveraging
LLMs, NLP, and predictive analytics
to drive meaningful impact.
About Delphi-US Delphi-US is a national recruiting firm based in Newport, Rhode Island. We specialize in IT, Engineering and Professional Staffing services for organizations across the United States of America. Our mission is simple: We are Peacemakers in the Talent War. Delphi attracts our nation's best and brightest Technical & Professional Talent and position our nation's finest employers to further their competitive advantages. We accomplish this with a proprietary skill-based and cultural matching process that results in higher qualified submissions, hiring with purpose, and employer/employee mutual success. You'll find our team is supremely experienced, friendly, professional and ready to advocate on your behalf. Armed with best in class talent, Delphi has an indelible understanding of employer expectations and we deliver lasting results.
#LI-RS1
Worksite:
Hybrid Onsite mandator Mon-Thur - Houston, TX
Overview: 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 (Master's 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 . This role is ideal for a
Data Scientist
who wants to work at the
cutting edge of AI and ML , leveraging
LLMs, NLP, and predictive analytics
to drive meaningful impact.
About Delphi-US Delphi-US is a national recruiting firm based in Newport, Rhode Island. We specialize in IT, Engineering and Professional Staffing services for organizations across the United States of America. Our mission is simple: We are Peacemakers in the Talent War. Delphi attracts our nation's best and brightest Technical & Professional Talent and position our nation's finest employers to further their competitive advantages. We accomplish this with a proprietary skill-based and cultural matching process that results in higher qualified submissions, hiring with purpose, and employer/employee mutual success. You'll find our team is supremely experienced, friendly, professional and ready to advocate on your behalf. Armed with best in class talent, Delphi has an indelible understanding of employer expectations and we deliver lasting results.
#LI-RS1