Brio Digital
Overview
We are seeking a highly skilled and motivated
Data Scientist
to join our growing analytics team in Dallas. This is a hands-on role where you’ll design, develop, and deploy AI/ML solutions that drive measurable impact across our business. You’ll work on diverse projects including predictive modelling, Generative AI/LLM applications, customer analytics, and real-time anomaly detection, collaborating with engineers, stakeholders, and product teams. Responsibilities
Design, develop, and deploy machine learning and AI models (classification, regression, NLP, computer vision, forecasting). Build and optimize
end-to-end data pipelines
using Python, SQL, Spark, and cloud platforms (AWS, Azure, GCP). Implement
Generative AI/LLM workflows
(RAG, LangChain, Hugging Face, vector databases) for enterprise use cases. Conduct exploratory data analysis, feature engineering, and model evaluation with tools like Scikit-learn, TensorFlow, and PyTorch. Develop and maintain ML pipelines with
MLOps frameworks
(MLflow, Docker, CI/CD, monitoring & retraining). Partner with business leaders to translate problems into data-driven solutions and deliver clear insights via dashboards (Tableau, Power BI). Ensure models are interpretable, compliant, and aligned with governance and security requirements. What We’re Looking For
8+ years total experience (must-have) 5+ years’ professional experience in data science, ML, or applied AI (candidates with more senior backgrounds are also encouraged to apply). Strong programming skills in
Python
and SQL; familiarity with R is a plus. Hands-on experience with
cloud ML platforms
(AWS SageMaker, Azure ML, or GCP Vertex AI). Proficiency in ML algorithms (tree-based models, neural networks, NLP, clustering, time-series forecasting). Experience with
Generative AI/LLMs
(GPT, BERT, LLaMA, or similar) and RAG/LLMOps workflows preferred. Excellent problem-solving, communication, and stakeholder engagement skills. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting
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We are seeking a highly skilled and motivated
Data Scientist
to join our growing analytics team in Dallas. This is a hands-on role where you’ll design, develop, and deploy AI/ML solutions that drive measurable impact across our business. You’ll work on diverse projects including predictive modelling, Generative AI/LLM applications, customer analytics, and real-time anomaly detection, collaborating with engineers, stakeholders, and product teams. Responsibilities
Design, develop, and deploy machine learning and AI models (classification, regression, NLP, computer vision, forecasting). Build and optimize
end-to-end data pipelines
using Python, SQL, Spark, and cloud platforms (AWS, Azure, GCP). Implement
Generative AI/LLM workflows
(RAG, LangChain, Hugging Face, vector databases) for enterprise use cases. Conduct exploratory data analysis, feature engineering, and model evaluation with tools like Scikit-learn, TensorFlow, and PyTorch. Develop and maintain ML pipelines with
MLOps frameworks
(MLflow, Docker, CI/CD, monitoring & retraining). Partner with business leaders to translate problems into data-driven solutions and deliver clear insights via dashboards (Tableau, Power BI). Ensure models are interpretable, compliant, and aligned with governance and security requirements. What We’re Looking For
8+ years total experience (must-have) 5+ years’ professional experience in data science, ML, or applied AI (candidates with more senior backgrounds are also encouraged to apply). Strong programming skills in
Python
and SQL; familiarity with R is a plus. Hands-on experience with
cloud ML platforms
(AWS SageMaker, Azure ML, or GCP Vertex AI). Proficiency in ML algorithms (tree-based models, neural networks, NLP, clustering, time-series forecasting). Experience with
Generative AI/LLMs
(GPT, BERT, LLaMA, or similar) and RAG/LLMOps workflows preferred. Excellent problem-solving, communication, and stakeholder engagement skills. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr