Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science
Tasks
- Advise customers on AI ML generative AI and cloud architectures
- Build MLOps solutions
- Collaborate with cross functional teams to operationalize data and models
- Deploy machine learning models
- Design machine learning pipelines
- Design scalable, secure ML solutions
- Ensure adherence to industry best practices
- Gather requirements and assess customer infrastructure
- Implement end to end AI ML and generative AI projects
- Monitor and retrain models
- Propose migration strategies to AWS
- Share knowledge and best practices through mentoring and training
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Agent | AI agent orchestration | AWS | AWS Bedrock | AWS CloudFormation | AWS EC2 | AWS IAM | AWS Lambda | AWS Security | Agent Orchestration | Amazon ECR | Amazon S3 | Amazon SageMaker | Amazon VPC | Artificial Intelligence | CI/CD | Data Preprocessing | Distributed Training | Docker | ECS | EKS | GPU Training | Generative AI | Kubernetes | Langchain | Langgraph | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | OpenSearch | PyTorch | Python | SQL | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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