Senior Data Scientist – LLMs, GenAI, RAG

Compass

Senior Data Scientist developing and evolving Machine Learning and AI Generative solutions for Compass UOL. Implementing architectures and pipelines in data environments to enhance application performance.

Posted 7/22/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying Machine Learning and Generative AI solutions, with a strong focus on building APIs and applications using LangChain and AWS services. Proficient in evaluating solution performance and maintaining data pipelines in cloud environments.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentGenerative AI KnowledgeAWS Services ExperienceAPI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningImage ClassificationDetection ModelsSegmentation ModelsSQLPandasScikit-learnTensorFlowPyTorchOpenCV

Soft Skills

CollaborationAgile Methodologies

Tools & Technologies

LangChainLangGraphOpenAIAWS BedrockOpenSearchData PipelinesMicroservicesContainersCloud EnvironmentsVector Databases

Industry Keywords

RAG ArchitecturesIngestion PipelinesSemantic SearchQuality MetricsLatency MetricsCost Metrics

Tech Stack

Tools & technologies

AWSAzureCloudPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop and advance Machine Learning, Generative AI, and Computer Vision solutions.
Implement RAG architectures, ingestion pipelines, and semantic search over vector databases.
Build APIs and applications using LangChain, LangGraph, OpenAI, and AWS Bedrock.
Evaluate GenAI solution performance using quality, latency, and cost metrics.
Develop, train, and deploy image classification, detection, and segmentation models.
Work on building and maintaining data pipelines and applications in AWS and Azure environments.
Participate in technical decisions, refinements, and agile ceremonies, ensuring solution quality and scalability.

Requirements

What you’ll need

Strong experience with Python, SQL, and machine learning model development.
Knowledge of Generative AI, LLMs, RAG, embeddings, and vector databases.
Experience with Pandas, Scikit-learn, TensorFlow, PyTorch, and OpenCV.
Experience with LangChain, LangGraph, OpenAI, AWS Bedrock, and OpenSearch.
Knowledge of AWS services such as S3, Lambda, RDS, and SageMaker.
Experience with APIs, microservices, containers, and cloud environments.
Familiarity with agile methodologies and software engineering best practices.

Benefits

Comp & perks

Position also open to candidates with disabilities