Remotely
pythonawsmlopspytorchtensorflowragsagemakerbedrock
Job Description
📋 Description
- Lead AI/ML strategy, solution architecture, and implementation across programs.
- Design, develop, deploy scalable AI/ML models and intelligent systems.
- Lead predictive analytics, automation frameworks, and decision-support solutions.
- Provide hands-on leadership through ML lifecycle from prototyping to production.
- Oversee data pipelines, MLOps, model lifecycle, monitoring, and bias mitigation.
🎯 Requirements
- Bachelor’s degree in CS/Engineering/Data Science/Math; Master’s or PhD preferred.
- 10+ years in AI/ML, data science, software engineering, analytics; hands-on with modern AI tech.
- ≥5 years building AI/ML in production with MLOps.
- Strong programming in Python, R, Java, or equivalent.
- Deep knowledge of ML frameworks (TensorFlow/PyTorch); AWS SageMaker preferred.
- Experience in secure, regulated environments; compliance and governance familiarity.
🎁 Benefits
- Estimated salary range $204,000–$276,000; base varies by location and contract.
- Medical plan options, including HSA.
- Dental and vision insurance.
- 401(k) with company match and tax-advantaged options.
- Paid time off including vacation, sick, holidays, parental, and more.