AI/ML Engineer
Core
Design, develop, and deploy end-to-end AI/ML solutions, including data ingestion, feature engineering, model training, deployment, monitoring, and lifecycle management using AWS technologies.
Role type
Senior IC machine learning engineer (Generative AI & MLOps)
Builds
Scalable, cloud-native AI/ML applications and services supporting batch and real-time workloads
Domain
Enterprise AI, Generative AI, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AWS SageMaker, MLOps, CI/CD, Docker, Kubernetes, Generative AI (LLMs, RAG, agentic AI), Knowledge Graphs, System Design, Model Monitoring
Preferred skills
Real-time streaming (Kafka, Flink), AI Governance, Enterprise-scale AI platform architecture
Technologies
AWS Lambda, S3, EventBridge, Step Functions, Vector Databases, Knowledge Graphs, Flink, Kafka, Kinesis
Responsibilities
Design and implement Generative AI solutions using LLMs and fine-tuning; Develop and maintain ML and MLOps pipelines; Design and use knowledge graphs for enterprise intelligence; Implement model monitoring and observability; Partner with stakeholders to solve complex business problems; Lead technical design discussions and mentor team members.
Seniority
Senior, hands-on IC with leadership responsibilities