North AmericaFull TimeEngineering
Remotely
pythonawsdockerkubernetesmlopspytorchtensorflowsagemaker
Job Description
📋 Description
- Lead technical evaluations of emerging AI/ML technologies via prototypes and experiments.
- Analyze benefits, tradeoffs, risks; communicate findings to stakeholders.
- Design, develop, test, and deploy production AI/ML apps in AWS.
- Build, train, evaluate, and optimize ML models for enterprise use cases.
- Support AI/ML app development across engineering, ops, security, and cloud-native teams.
- Drive adoption of modern AI tech and scalable practices in enterprise.
🎯 Requirements
- Bachelors in CS/Data Science/Engineering/Math or equivalent experience.
- 7–10 years in software/cloud engineering or related field.
- At least 3 years deploying production apps in AWS.
- At least 2 years deploying production AI/ML apps in enterprise environments.
- Strong Python; hands-on with TensorFlow or PyTorch.
- Experience with AI/ML platforms like SageMaker, Bedrock, HF, or similar.
🎁 Benefits
- Annual salary $180,000–$230,000 USD
- Annual discretionary bonus and performance incentives
- Remote work environment with hybrid options
- Medical, dental, and vision insurance
- Life and disability coverage
- Employee Assistance Program
