The company is looking to solve the problem of designing and implementing cloud-native AI/ML applications on AWS, with a focus on security, cost optimization, and high availability.
Requirements
- Hands on experience with AWS services, especially for AI/ML workloads (Sagemaker, Bedrock, Lambda, EKS, Glue)
- Strong programming skills in Python /Java with exposure to ML frameworks (TensorFlow, Pytorch, Hugging face)
- Familiarity with Generative AI, LLM and vector databases (e.g. Pinecone, Cosmos, OpenSearch)
- Experience with AI /ML Ops, CI/CD Pipelines, and containerization.
- Experience with AWS services such as CloudWatch, Prometheus , Grafana , Open Telemetry
Responsibilities
- Establish cloud-native design principles, reference architectures, and best practices for AI workloads.
- Design secure, cost-optimized, high availability AWS architectures for AI Applications.
- Architect, design and oversee implementation of machine learning pipelines, from data ingestion to deployment.
- Lead proof of concepts (PoCs) for emerging AI capabilities (Gen AI, Agentic AI ..)
- Experience with Model Tuning/Evaluation Techniques (Fine Tuning, RLHF) and RAG Implementations
- Establish monitoring & observability frameworks using CloudWatch, Prometheus , Grafana , Open Telemetry.
Other
- BACHELOR OF COMPUTER SCIENCE
- 10+ yrs of experience in software/solution architecture, with 3+ yrs in AI/ML or data-driven applications.
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
