Overview
On Site
Depends on Experience
Full Time
Skills
Gen AI
Generative AI
AI/ML
LLM
MLOps
AWS
SageMaker
Lambda
Job Details
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
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