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Data scientist with AI
Job Location:
Job Location:
Corpus Christi, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
3 October 2026 (Yesterday)
Posted:
Application Deadline:
31 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position:Data Scientist
Duration:12 Months
Work location:Onsite - Corpus Christi TX(NO WFH)
Data scientist with AI
TX
Need 13
Need strong candidate
Need H4 EAD L2 EAD GC EAD
65 on c2c
TCS
Position Overview
We are seeking an enthusiastic and hands-onData Scientistto join our team for a long-term contract engagement. The ideal candidate will have strong experience inArtificial Intelligence (AI) Machine Learning (ML) Computer Vision Generative AI Retrieval-Augmented Generation (RAG) and Agentic AI workflows.
This role is well suited for someone who enjoys solving complex problems experimenting with emerging AI technologies and translating ideas into practical production-oriented solutions. Technical capability is important butpersonality enthusiasm communication and the ability to collaborate effectively with the team are equally critical.
Key Responsibilities
Design develop evaluate and deployAI and Machine Learning modelsfor real-world business use cases.
Build solutions involvingComputer Vision including image/video analysis classification detection recognition or related applications.
Develop and experiment withGenerative AI and Large Language Model (LLM)applications.
Design and implementRetrieval-Augmented Generation (RAG)solutions using enterprise or domain-specific data.
Buildagentic AI workflows including multi-step reasoning tool integration orchestration and automated AI-driven processes.
Work with structured and unstructured datasets to perform data exploration feature engineering modeling and analysis.
Evaluate model performance and improve accuracy reliability scalability and overall solution quality.
Develop prototypes and proofs of concept and help transition successful solutions toward production.
Collaborate closely with technical and business stakeholders to understand problems and translate requirements into effective AI/ML solutions.
Stay current with rapidly evolving AI/ML technologies and proactively identify opportunities to apply them.
Required Qualifications
Strong hands-on experience inData Science Artificial Intelligence and Machine Learning.
Proficiency withPythonand commonly used data science/ML libraries and frameworks.
Practical experience developing and evaluating machine learning models.
Experience withComputer Visiontechnologies and frameworks.
Hands-on exposure toLLMs and Generative AI applications.
Experience designing or implementingRAG architectures including embeddings vector search/vector databases retrieval and prompt/context management.
Understanding ofAI agents and agentic workflows including orchestration and tool/API integration.
Strong analytical and problem-solving skills.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Ability and willingness to workonsite in Corpus Christi TX.
Preferred Qualifications
Experience taking AI/ML solutions fromprototype or proof of concept through production.
Familiarity with cloud-based AI/ML platforms and services.
Experience with MLOps model deployment APIs containers or production ML pipelines.
Familiarity with modern LLM frameworks vector databases and AI orchestration technologies.
Experience working with large-scale structured and unstructured datasets.
Duration:12 Months
Work location:Onsite - Corpus Christi TX(NO WFH)
Data scientist with AI
TX
Need 13
Need strong candidate
Need H4 EAD L2 EAD GC EAD
65 on c2c
TCS
Position Overview
We are seeking an enthusiastic and hands-onData Scientistto join our team for a long-term contract engagement. The ideal candidate will have strong experience inArtificial Intelligence (AI) Machine Learning (ML) Computer Vision Generative AI Retrieval-Augmented Generation (RAG) and Agentic AI workflows.
This role is well suited for someone who enjoys solving complex problems experimenting with emerging AI technologies and translating ideas into practical production-oriented solutions. Technical capability is important butpersonality enthusiasm communication and the ability to collaborate effectively with the team are equally critical.
Key Responsibilities
Design develop evaluate and deployAI and Machine Learning modelsfor real-world business use cases.
Build solutions involvingComputer Vision including image/video analysis classification detection recognition or related applications.
Develop and experiment withGenerative AI and Large Language Model (LLM)applications.
Design and implementRetrieval-Augmented Generation (RAG)solutions using enterprise or domain-specific data.
Buildagentic AI workflows including multi-step reasoning tool integration orchestration and automated AI-driven processes.
Work with structured and unstructured datasets to perform data exploration feature engineering modeling and analysis.
Evaluate model performance and improve accuracy reliability scalability and overall solution quality.
Develop prototypes and proofs of concept and help transition successful solutions toward production.
Collaborate closely with technical and business stakeholders to understand problems and translate requirements into effective AI/ML solutions.
Stay current with rapidly evolving AI/ML technologies and proactively identify opportunities to apply them.
Required Qualifications
Strong hands-on experience inData Science Artificial Intelligence and Machine Learning.
Proficiency withPythonand commonly used data science/ML libraries and frameworks.
Practical experience developing and evaluating machine learning models.
Experience withComputer Visiontechnologies and frameworks.
Hands-on exposure toLLMs and Generative AI applications.
Experience designing or implementingRAG architectures including embeddings vector search/vector databases retrieval and prompt/context management.
Understanding ofAI agents and agentic workflows including orchestration and tool/API integration.
Strong analytical and problem-solving skills.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Ability and willingness to workonsite in Corpus Christi TX.
Preferred Qualifications
Experience taking AI/ML solutions fromprototype or proof of concept through production.
Familiarity with cloud-based AI/ML platforms and services.
Experience with MLOps model deployment APIs containers or production ML pipelines.
Familiarity with modern LLM frameworks vector databases and AI orchestration technologies.
Experience working with large-scale structured and unstructured datasets.
Required Skills:
APIAIMLARTIFICIAL INTELLIGENCE
