About this role
A senior AI/ML engineer role focused on designing and deploying sophisticated AI solutions using cloud-native services, with an emphasis on LLMs and MLOps best practices.
Key Responsibilities
- Design and build AI/ML systems
- Develop experimentation roadmap
- Monitor ML models in production
- Leverage cloud services (AWS)
- Mentor junior engineers
Technical Overview
Involves developing ML pipelines, deploying models on AWS, working with large language models, and implementing MLOps workflows for scalable AI systems.
Ideal Candidate
The ideal candidate is a senior ML engineer with 5+ years of experience in developing end-to-end AI/ML systems, proficient in Python and AWS cloud services, with strong expertise in LLMs, MLOps, and deploying production models.
Must-Have Skills
5+ years of hands-on ML engineering experiencePythonML pipelinesML modelsAWSSageMakerML/AIMLOpsModel deploymentModel monitoringLLMsLarge Language Modelsclassificationregressionfeature engineering
Nice-to-Have Skills
Master's degreecloud-native servicesRAG architectureagentic systemsNLPRecommendation engines
Tools & Platforms
AWSAmazon Web ServicesSageMakerEMRS3LambdaECR
Required Skills
machine learningML engineerPythonML pipelinesML modelsAWSSageMakerMLOpsmodel deploymentmodel monitoringLLMslarge language modelsclassificationregressionfeature engineeringcloud platformsAI solutionsAI infrastructureend-to-end AI
Hard Skills
PythonPython programming languageML pipelinesML modelsAWSAmazon Web ServicesSageMakerEMRS3LambdaECRML/AIMLOpsModel deploymentModel monitoringData pipelineModel developmentModel deploymentModel monitoringLLMsLarge Language ModelsRAG architectureAgentic systemsClassificationRegressionFeature engineeringCloud platforms
Soft Skills
leadershipmentoringtechnical discoverysolution architecturecollaborationproblem-solvingcommunicationadaptability
Keywords for Your Resume
machine learningML engineerPythonML pipelinesML modelsAWSAmazon Web ServicesSageMakerMLOpsModel deploymentModel monitoringLLMsLarge Language Modelsclassificationregressionfeature engineeringcloud platformsAI solutionsAI infrastructureAI transformationsend-to-end AIlarge language modelsmodel deployment
Deal Breakers
Less than 5 years of ML engineering experience, Lack of experience with AWS or cloud platforms, No experience with MLOps or model deployment, No proficiency in Python
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