✦ Luna Orbit — AI & Machine Learning

Back-End AI Engineer

at RightRev

📍 Remote, US Remote Posted March 10, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
Category AI & Machine Learning

Join RightRev as an AI Developer to design and optimize scalable AI/ML pipelines using Snowflake and cloud platforms, enabling advanced insights and automation.

  • Design AI/ML pipelines in Snowflake
  • Implement data ingestion and transformation workflows
  • Collaborate with data scientists and engineers
  • Optimize Snowflake performance for AI workloads
  • Maintain data governance and security standards

Focus on Snowflake, Python, data pipelines, ML, and cloud integrations to develop and operationalize AI solutions at scale.

The ideal candidate is an experienced AI/ML developer with 3+ years of expertise in Snowflake, data pipelines, and cloud-based AI solutions. They should be proficient in Python and familiar with deploying scalable AI models within Snowflake and cloud environments.

SnowflakePythonData pipelinesMLSnowflake’s native ML capabilities
dbtAirflowMLFlowNLPtime-series forecastinggenerative AICloud platformsAWSAzureGoogle Cloud
SnowflakeSnowparkPythonAWSAzureGoogle CloudSageMakerDataRobotAzure MLGitJIRAMLFlow
SnowflakeSnowparkPythonUDFsExternal functionsData pipelinesAI/MLMLData ingestionData transformationFeature engineeringSnowflake’s native ML capabilitiesAWSAzureGoogle CloudSageMakerDataRobotAzure MLMLOps
SnowflakeSnowparkPythonUDFsExternal functionsData pipelinesAI/MLMLData ingestionData transformationFeature engineeringSnowflake’s native ML capabilitiesCloud platformsAWSAzureGoogle Cloud AI PlatformSageMakerDataRobotAzure MLVersion controlGitJIRAMLOps
problem-solvingcollaborationattention to detailcommunicationinnovative thinkingadaptability

Required

Snowflake Certification

Preferred

SnowPro CoreSnowPro Advanced
Industry Technology/Software
Job Function Developing scalable AI/ML pipelines and integrating data solutions within Snowflake and cloud environments
SnowflakeSnowparkPythonUDFsExternal functionsData pipelinesAI/MLMLData ingestionData transformationFeature engineeringSnowflake’s native ML capabilitiesAWSAzureGoogle CloudSageMakerDataRobotAzure MLMLFlowNLPTime-series forecastingGenerative AIVersion controlGitJIRAMLOps

Lack of Snowflake experience, No Python or data pipeline skills, Inability to work remotely, No experience with cloud AI platforms

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