✦ Luna Orbit — AI & Machine Learning

AI/ML Engineer

at Arvexi

📍 Remote, US Remote 💰 $96K – $116K USD / year Posted March 09, 2026
Salary $96K – $116K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

Seeking an AI/ML engineer to develop, train, and deploy advanced machine learning models leveraging cloud platforms and big data technologies.

  • Design and optimize ML models
  • Collaborate on data pipelines
  • Deploy models on cloud platforms
  • Implement NLP solutions
  • Conduct data mining activities

Environment includes TensorFlow, Python, Java, C, R, AWS, Hadoop, Spark, SQL/NoSQL databases, NLP, data mining, and data visualization tools.

The ideal candidate is a mid-level AI/ML engineer with 3+ years of experience in developing and deploying machine learning models using frameworks like TensorFlow. They possess strong programming skills in Python, Java, C, and R, and have hands-on experience with cloud platforms such as AWS, big data technologies, and natural language processing.

Experience with TensorFlow or similar frameworksProficiency in PythonJavaCRExperience with AWS cloud servicesKnowledge of big data technologies (HadoopSpark)Experience with natural language processing (NLP)Data mining and analytics techniquesDatabase design principlesModel training workflows
scikit-learnTalendLookerSAS
TensorFlowHadoopSparkSQL databasesNoSQL databasesAWSscikit-learnLookerSAS
TensorFlowPythonJavaCBashVBARNLPData miningHadoopSparkSQLNoSQLAWSModel deploymentETL pipelinesData visualizationscikit-learn
TensorFlowAI librariesPythonJavaCBash (Unix shell)VBARNatural Language ProcessingNLPData miningBig data technologiesHadoopSparkSQLNoSQLCloud platformsAmazon Web ServicesAWSModel deploymentETL pipelinesData visualizationscikit-learn
CollaborationInnovationProblem-solvingCommunicationAdaptability
Industry Technology
Job Function Developing and deploying machine learning models in a cloud-based environment
AI/ML EngineerTensorFlowPythonJavaCBash (Unix shell)VBARNatural Language ProcessingNLPData miningHadoopSparkSQLNoSQLAWSAmazon Web ServicesModel deploymentETL pipelinesData visualizationscikit-learn

Lack of experience with TensorFlow or similar frameworks, No experience with AWS cloud services, Insufficient programming skills in Python, Java, or C, No background in big data technologies

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