✦ Luna Orbit — AI & Machine Learning

A.I. Developer

at Mindset Care, Inc.

📍 Remote, US Remote 💰 $175K – $190K USD / year Posted March 24, 2026
Salary $175K – $190K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

This role involves developing and deploying AI/ML models, especially NLP applications, leveraging cloud platforms like AWS and Databricks, with a focus on security and scalability.

  • Design and deploy AI/ML models
  • Implement NLP solutions
  • Leverage cloud services for deployment
  • Ensure security and compliance
  • Collaborate with cross-functional teams

Technical environment includes AI/ML frameworks, cloud deployment (AWS SageMaker, Databricks), Kubernetes, NLP models, and data storage solutions.

The ideal candidate is a mid-level AI/ML engineer with experience deploying NLP models, proficient in AWS SageMaker, Databricks, and Kubernetes, with strong collaboration and problem-solving skills.

Experience in AI/ML model developmentDeployment of AI solutionsCloud environment deploymentKnowledge of NLP modelsExperience with AWS services
LangChainHuggingFaceOpen-source AI frameworksSecurity compliance
AWS SageMakerDatabricksKubernetesRedisElastiCacheOpenSearchDynamoDB
Machine LearningMLAINLPTransformersRAGAWS SageMakerDatabricksETL pipelinesPythonKubernetesEKSHIPAASOC 2
Machine LearningMLAINatural Language ProcessingNLPTransformersRetrieval-Augmented GenerationRAGAWS SageMakerDatabricksETL pipelinesPythonReact.NETSQL ServerRedisElastiCacheOpenSearchDynamoDBKubernetesEKSHIPAASOC 2
collaborationproblem-solvinginnovationcommunicationadaptability
Industry Technology / SaaS
Job Function AI/ML model development and deployment
Role Subtype AI Engineer
Tech Domains Python, Kubernetes, Amazon Web Services, Microsoft 365, SQL Server, ElastiCache, OpenSearch, DynamoDB
machine learningMLAInatural language processingNLPtransformersretrieval-augmented generationRAGAWS SageMakerDatabricksETL pipelinesPythonKubernetesEKSHIPAASOC 2security compliancecloud deployment

Lack of experience in AI/ML deployment, No experience with NLP models, No cloud deployment experience

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