AWS Gen AI / ML Engineer

Skills and qualificationsPrimary technical skillsAWS SDK, SageMaker, Lambda, Step FunctionsMachine-learning theory and practice (supervised / deep learning)DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK)Cloud security (IAM, KMS, VPC, GuardDuty)Networking fundamentalsJava, Springboot, JavaScript/TypeScript & API design (REST, GraphQL)Linux administration and scriptingBedrock & Anthropic LLM integrationSecondary / tool skillsAdvanced debugging and profilingHybrid-cloud management strategiesLarge-scale data migrationImpeccable analytical and problem-solving ability; strong grasp of probability, statistics, and algorithmsFamiliarity with modern ML frameworks (PyTorch, TensorFlow, Keras)Solid understanding of data structures, modeling, and software architectureExcellent time-management, organizational, and documentation skillsGrowth mindset and passion for continuous learning Preferred qualifications10+ years of Software Experience3+ years in an ML-engineering or cloud-ML role (AWS focus)Proficient in Python (core), with working knowledge of Java or ROutstanding communication and collaboration skills; able to explain complex topics to non-technical peersProven record of shipping production ML systems or contributing to OSS ML projectsBachelor’s (or higher) in Computer Science, Data Engineering, Mathematics, or a related fieldAWS Certified Machine Learning – Specialty and/or AWS Solutions Architect – Associate a strong plus