AWS Gen AI / ML Engineer

Skills and qualifications

Primary technical skills

AWS SDK, SageMaker, Lambda, Step Functions

Machine-learning theory and practice (supervised / deep learning)

DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK)

Cloud security (IAM, KMS, VPC, GuardDuty)

Networking fundamentals

Java, Springboot, JavaScript/TypeScript & API design (REST, GraphQL)

Linux administration and scripting

Bedrock & Anthropic LLM integration

Secondary / tool skills

Advanced debugging and profiling

Hybrid-cloud management strategies

Large-scale data migration

Impeccable analytical and problem-solving ability; strong grasp of probability, statistics, and algorithms

Familiarity with modern ML frameworks (PyTorch, TensorFlow, Keras)

Solid understanding of data structures, modeling, and software architecture

Excellent time-management, organizational, and documentation skills

Growth mindset and passion for continuous learning

Preferred qualifications

10+ years of Software Experience

3+ years in an ML-engineering or cloud-ML role (AWS focus)

Proficient in Python (core), with working knowledge of Java or R

Outstanding communication and collaboration skills; able to explain complex topics to non-technical peers

Proven record of shipping production ML systems or contributing to OSS ML projects

Bachelor’s (or higher) in Computer Science, Data Engineering, Mathematics, or a related field

AWS Certified Machine Learning – Specialty and/or AWS Solutions Architect – Associate a strong plus