AI/ML Engineer
Core
Design, build, and scale enterprise AI/ML solutions, including Generative AI and knowledge graphs, to drive business innovation and operationalize intelligent applications.
Role type
Senior IC Machine Learning Engineer (Generative AI & MLOps)
Builds
Cloud-native AI/ML applications, scalable data pipelines, and production-grade intelligent services
Domain
Financial Services / Enterprise AI & Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AWS SageMaker, MLOps, Docker, Kubernetes, LLMs, RAG, vector databases, knowledge graphs, system design, observability
Preferred skills
Real-time streaming (Kafka, Flink), AI governance frameworks, enterprise-scale platform architecture
Technologies
AWS (SageMaker, ECS, Lambda, S3, EventBridge, Step Functions), Docker, Kubernetes, Kafka, Flink, Kinesis
Responsibilities
Design end-to-end AI/ML solutions from data ingestion to lifecycle management; Build scalable cloud-native AI services; Develop MLOps pipelines for batch and real-time workloads; Implement Generative AI solutions using LLMs and agentic frameworks; Design knowledge graph solutions; Partner with stakeholders to translate challenges into AI solutions; Ensure adherence to AI governance and security standards; Mentor team members on AI/ML best practices
Seniority
Senior, hands-on IC with leadership responsibilities
