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Job Description
📋 Description
- Lead AI/ML strategy, solution architecture, and implementation across complex programs.
- Design and deploy scalable AI/ML models and intelligent systems for decision-making and automation.
- Oversee data pipelines, MLOps, model lifecycle, monitoring, explainability, and bias mitigation.
- Ensure AI/ML in secure enterprise environments with governance, compliance, and cybersecurity
- Mentor engineers and guide cross-functional teams through production deployment and optimization.
- Transition prototypes into reliable, scalable production systems while advising on emerging AI tech.
🎯 Requirements
- Bachelor’s degree (Master’s/PhD preferred) in CS, Engineering, Data Science, or related field.
- 10+ years in AI/ML, data science, or related field; 5+ years hands-on production AI/ML experience
- Strong coding: Python, R, Java (or comparable languages).
- Deep ML framework expertise (TensorFlow, PyTorch); experience with AWS SageMaker.
- Experience integrating AI in secure/restricted environments; knowledge of governance/regulatory
- Hands-on experience with RAG and agentic AI technologies; cloud experience (AWS preferred
🎁 Benefits
- Estimated salary range: $204,000–$276,000 (varies by experience/location/contract).
- Medical, dental, vision, 401(k) with company match.
- Paid time off, holidays, family leave, disability and life insurance options.
- Flexible work arrangements and career development resources.
- Opportunities to work with advanced AI, cloud, cybersecurity, and transformation initiatives.
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