Remotely
awsmlopsagentic aiairagsagemakermlbedrock
Job Description
📋 Description
- Lead AI/ML strategy, solution architecture, and modernization across programs.
- Design, develop, deploy scalable AI/ML models and systems.
- Lead predictive analytics, automation frameworks, and decision-support.
- Provide hands-on leadership through ML lifecycle from prototyping to production.
- Oversee data pipelines, MLOps, model lifecycle, monitoring, and bias mitigation.
- Integrate AI into secure enterprise environments with governance and compliance.
🎯 Requirements
- Bachelor’s in CS/Engineering/Data Science or related; Master/PhD preferred.
- 10+ years in AI/ML, data science, analytics, or related field with hands-on AI tech.
- At least 5 years designing, deploying AI/ML in production with MLOps.
- Strong programming: Python, R, Java, or equivalent.
- Deep ML framework knowledge (TensorFlow, PyTorch); AWS SageMaker preferred.
- Experience in secure enterprise environments; governance and compliance.
🎁 Benefits
- Salary range: $204,000–$276,000 (actual depends on experience/location).
- Comprehensive medical, dental, vision; HSA options.
- 401(k) with company match; pre/post-tax options.
- Paid time off and holidays; family leave benefits.
- Disability, life insurance, and other options.
- Flexible work arrangements and career development resources.